Introduction
In this document, we will do some preliminary analyses of an IBIS dataset consisting of information about Proband siblings (siblings of children with Autism). This data includes background demographic information (sex of sibling and Proband, parent information, etc.), various behavioral measures (ADOS, ADIR, CSBS, etc.) and as well brain structure information (TCV, TSA, EACSF, etc.) across various time points. Siblings were observed at 6, 12, and 24 months of age. The preliminary analyses will consist of
Summary statistics table for all variables
Data visualizations of group differences by diagnosis of sibling
Measures/visualizations of associations between SCQ and brain measures.
We are also interested in the following, more specified brain measures:
Fractional Anisotropy (FA) of major white matter tracts: CCbody, CCGenu, CCSplenium
Amygdala volumes (Amyg)
Brain Thickness (Axis_Mean_Thickness)
Surface Area in selected regions of interest (ROIs):
ROI08 = Right Medial Frontal Gyrus
ROI41 = Left Cuneus Gyrus
ROI42 = Right Cuneus Gyrus
ROI44 = Right Lingual Gyrus
ROI47 = Left Middle Occipital Gyrus
ROI48 = Right Middle Occipital Gyrus
ROI77 = Left Inferior Temporal Gyrus
- Control ROIs:
ROI01 = Left Precentral Gyrus
ROI02 = Right Precentral Gyrus
ROI59 = Left Supramarginal Gyrus
ROI60 = Right Supramarginal Gyrus
Read-in Data
First, we read in the data as a XLSX file using the function read_excel(), which requires the readxl package (see above code). Due to the large number of variables in the dataset, we create another dataset in R with a subset of variables which are of interest for a table of summary statistics. We will also create a form of this dataset in long format.
Summary Statistics Tables
Here we create separate summary statistics tables for
- Variables at baseline, by diagnosis
- Variables measured across time, by diagnosis and time point
Linear Regression-No Confounding Variables
Here we consider fitting linear regression models to estimate the assoications between various brain measures (EACSF, TCV, TSA, etc.) and Proband SCQ Total Score. We model different associations for each diagnosis group using an interaction term between diagnosis and diagnosis. The models can be summarized as follows:
\(Y=\beta_0+\beta_1*Diagnosis+\beta_2*\mbox{SCQ_Proband_Score}+\beta_3*\mbox{SCQ_Proband_Score}*Diagnosis\)
where
\(Y\) is one of the brain measures. First, we do not control for possible confounding variables. For each model, we print the regression parameter estimates/p-values and two diagnostic plots (fitted values by residuals and residuals QQ plot). Due to the longitudinal nature of the data, we run separate analyses for each time pont. [1] “Visit = V06” [1] “Model = EACSF ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
EACSF ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
76584.76
|
<0.001
|
(60189.97, 92979.54)
|
|
RiskGroupHR-ASD
|
13903.44
|
0.534
|
(-30071.49, 57878.37)
|
|
SCQ_Pro_Score
|
-80.46
|
0.834
|
(-835.46, 674.53)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
-49.05
|
0.959
|
(-1931.03, 1832.93)
|
[1] “Visit = V12” [1] “Model = EACSF ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
EACSF ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
76493.78
|
<0.001
|
(64938.33, 88049.22)
|
|
RiskGroupHR-ASD
|
-19966.62
|
0.259
|
(-54735.44, 14802.2)
|
|
SCQ_Pro_Score
|
-230.47
|
0.391
|
(-759.14, 298.2)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
1049.02
|
0.158
|
(-408.85, 2506.88)
|
[1] “Visit = V24” [1] “Model = EACSF ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
EACSF ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
76349.99
|
<0.001
|
(66636.69, 86063.29)
|
|
RiskGroupHR-ASD
|
-20483.84
|
0.126
|
(-46764.45, 5796.77)
|
|
SCQ_Pro_Score
|
-276.28
|
0.229
|
(-727.58, 175.03)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
1001.58
|
0.084
|
(-135.9, 2139.05)
|
[1] “Visit = V06” [1] “Model = TCV ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
TCV ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
838393.83
|
<0.001
|
(797084.97, 879702.68)
|
|
RiskGroupHR-ASD
|
-72319.24
|
0.194
|
(-181784.19, 37145.72)
|
|
SCQ_Pro_Score
|
-192.84
|
0.843
|
(-2110.87, 1725.2)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
4631.55
|
0.055
|
(-109.44, 9372.54)
|
[1] “Visit = V12” [1] “Model = TCV ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
TCV ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
818696.54
|
<0.001
|
(780414.36, 856978.72)
|
|
RiskGroupHR-ASD
|
-101714.65
|
0.091
|
(-219925.52, 16496.22)
|
|
SCQ_Pro_Score
|
-688.32
|
0.442
|
(-2449.24, 1072.59)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
6198.62
|
0.015
|
(1233.2, 11164.04)
|
[1] “Visit = V24” [1] “Model = TCV ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
TCV ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
946815.66
|
<0.001
|
(896126.84, 997504.47)
|
|
RiskGroupHR-ASD
|
-161164.84
|
0.025
|
(-301930.33, -20399.36)
|
|
SCQ_Pro_Score
|
-550.60
|
0.647
|
(-2914.05, 1812.85)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
8600.61
|
0.006
|
(2541.41, 14659.8)
|
[1] “Visit = V06” [1] “Model = TSA ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
TSA ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
58808.35
|
<0.001
|
(56085.37, 61531.33)
|
|
RiskGroupHR-ASD
|
-3902.95
|
0.375
|
(-12553.68, 4747.78)
|
|
SCQ_Pro_Score
|
-16.16
|
0.8
|
(-141.99, 109.66)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
301.67
|
0.108
|
(-66.92, 670.27)
|
[1] “Visit = V12” [1] “Model = TSA ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
TSA ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
67523.53
|
<0.001
|
(64717.99, 70329.08)
|
|
RiskGroupHR-ASD
|
-9268.96
|
0.037
|
(-17959.34, -578.58)
|
|
SCQ_Pro_Score
|
-71.53
|
0.274
|
(-200.19, 57.13)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
515.78
|
0.006
|
(150.62, 880.94)
|
[1] “Visit = V24” [1] “Model = TSA ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
TSA ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
78815.94
|
<0.001
|
(75185.45, 82446.44)
|
|
RiskGroupHR-ASD
|
-13928.05
|
0.007
|
(-23990.69, -3865.41)
|
|
SCQ_Pro_Score
|
-39.97
|
0.64
|
(-208.21, 128.28)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
704.28
|
0.002
|
(269.38, 1139.18)
|
[1] “Visit = V06” [1] “Model = CCbody ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
CCbody ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
0.39
|
<0.001
|
(0.37, 0.4)
|
|
RiskGroupHR-ASD
|
-0.03
|
0.128
|
(-0.07, 0.01)
|
|
SCQ_Pro_Score
|
0.00
|
0.999
|
(0, 0)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
0.00
|
0.108
|
(0, 0)
|
[1] “Visit = V12” [1] “Model = CCbody ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
CCbody ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
0.43
|
<0.001
|
(0.41, 0.44)
|
|
RiskGroupHR-ASD
|
0.00
|
0.895
|
(-0.04, 0.05)
|
|
SCQ_Pro_Score
|
0.00
|
0.838
|
(0, 0)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
0.00
|
0.88
|
(0, 0)
|
[1] “Visit = V24” [1] “Model = CCbody ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
CCbody ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
0.47
|
<0.001
|
(0.45, 0.49)
|
|
RiskGroupHR-ASD
|
-0.01
|
0.779
|
(-0.05, 0.04)
|
|
SCQ_Pro_Score
|
0.00
|
0.982
|
(0, 0)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
0.00
|
0.794
|
(0, 0)
|
[1] “Visit = V06” [1] “Model = CCGenu ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
CCGenu ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
0.38
|
<0.001
|
(0.37, 0.4)
|
|
RiskGroupHR-ASD
|
-0.03
|
0.121
|
(-0.07, 0.01)
|
|
SCQ_Pro_Score
|
0.00
|
0.959
|
(0, 0)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
0.00
|
0.099
|
(0, 0)
|
[1] “Visit = V12” [1] “Model = CCGenu ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
CCGenu ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
0.43
|
<0.001
|
(0.42, 0.44)
|
|
RiskGroupHR-ASD
|
0.00
|
0.846
|
(-0.05, 0.04)
|
|
SCQ_Pro_Score
|
0.00
|
0.45
|
(0, 0)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
0.00
|
0.696
|
(0, 0)
|
[1] “Visit = V24” [1] “Model = CCGenu ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
CCGenu ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
0.47
|
<0.001
|
(0.45, 0.49)
|
|
RiskGroupHR-ASD
|
-0.02
|
0.393
|
(-0.07, 0.03)
|
|
SCQ_Pro_Score
|
0.00
|
0.287
|
(0, 0)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
0.00
|
0.364
|
(0, 0)
|
[1] “Visit = V06” [1] “Model = CCSplenium ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
CCSplenium ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
0.45
|
<0.001
|
(0.43, 0.47)
|
|
RiskGroupHR-ASD
|
-0.07
|
0.016
|
(-0.13, -0.01)
|
|
SCQ_Pro_Score
|
0.00
|
0.817
|
(0, 0)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
0.00
|
0.017
|
(0, 0.01)
|
[1] “Visit = V12” [1] “Model = CCSplenium ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
CCSplenium ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
0.51
|
<0.001
|
(0.49, 0.52)
|
|
RiskGroupHR-ASD
|
0.02
|
0.416
|
(-0.03, 0.08)
|
|
SCQ_Pro_Score
|
0.00
|
0.65
|
(0, 0)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
0.00
|
0.571
|
(0, 0)
|
[1] “Visit = V24” [1] “Model = CCSplenium ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
CCSplenium ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
0.53
|
<0.001
|
(0.51, 0.55)
|
|
RiskGroupHR-ASD
|
-0.01
|
0.66
|
(-0.07, 0.04)
|
|
SCQ_Pro_Score
|
0.00
|
0.62
|
(0, 0)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
0.00
|
0.85
|
(0, 0)
|
[1] “Visit = V06” [1] “Model = ROI01 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI01 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
1219.83
|
<0.001
|
(1126.94, 1312.73)
|
|
RiskGroupHR-ASD
|
312.78
|
0.038
|
(17.66, 607.9)
|
|
SCQ_Pro_Score
|
1.58
|
0.467
|
(-2.71, 5.88)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
-8.49
|
0.184
|
(-21.07, 4.08)
|
[1] “Visit = V12” [1] “Model = ROI01 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI01 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
1425.69
|
<0.001
|
(1331.04, 1520.34)
|
|
RiskGroupHR-ASD
|
186.38
|
0.212
|
(-106.8, 479.56)
|
|
SCQ_Pro_Score
|
0.48
|
0.828
|
(-3.86, 4.82)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
-4.68
|
0.455
|
(-17, 7.64)
|
[1] “Visit = V24” [1] “Model = ROI01 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI01 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
1630.79
|
<0.001
|
(1496.84, 1764.75)
|
|
RiskGroupHR-ASD
|
-148.87
|
0.43
|
(-520.15, 222.42)
|
|
SCQ_Pro_Score
|
0.58
|
0.854
|
(-5.63, 6.79)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
8.35
|
0.306
|
(-7.7, 24.4)
|
[1] “Visit = V06” [1] “Model = ROI02 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI02 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
1271.44
|
<0.001
|
(1173.19, 1369.7)
|
|
RiskGroupHR-ASD
|
239.92
|
0.131
|
(-72.23, 552.07)
|
|
SCQ_Pro_Score
|
-0.52
|
0.823
|
(-5.06, 4.02)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
-5.66
|
0.402
|
(-18.96, 7.64)
|
[1] “Visit = V12” [1] “Model = ROI02 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI02 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
1458.10
|
<0.001
|
(1363.56, 1552.64)
|
|
RiskGroupHR-ASD
|
259.93
|
0.082
|
(-32.91, 552.77)
|
|
SCQ_Pro_Score
|
-0.95
|
0.666
|
(-5.29, 3.38)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
-7.41
|
0.237
|
(-19.72, 4.89)
|
[1] “Visit = V24” [1] “Model = ROI02 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI02 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
1599.73
|
<0.001
|
(1483.54, 1715.91)
|
|
RiskGroupHR-ASD
|
52.95
|
0.746
|
(-269.07, 374.97)
|
|
SCQ_Pro_Score
|
0.81
|
0.766
|
(-4.57, 6.2)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
1.48
|
0.834
|
(-12.44, 15.4)
|
[1] “Visit = V06” [1] “Model = ROI08 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI08 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
1882.15
|
<0.001
|
(1694.47, 2069.84)
|
|
RiskGroupHR-ASD
|
-242.56
|
0.423
|
(-838.83, 353.71)
|
|
SCQ_Pro_Score
|
-0.38
|
0.931
|
(-9.05, 8.29)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
19.11
|
0.139
|
(-6.3, 44.52)
|
[1] “Visit = V12” [1] “Model = ROI08 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI08 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
2138.16
|
<0.001
|
(1950.49, 2325.83)
|
|
RiskGroupHR-ASD
|
-231.05
|
0.434
|
(-812.37, 350.28)
|
|
SCQ_Pro_Score
|
-1.33
|
0.761
|
(-9.94, 7.27)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
19.71
|
0.113
|
(-4.71, 44.14)
|
[1] “Visit = V24” [1] “Model = ROI08 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI08 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
2599.59
|
<0.001
|
(2360.44, 2838.75)
|
|
RiskGroupHR-ASD
|
-650.03
|
0.055
|
(-1312.89, 12.83)
|
|
SCQ_Pro_Score
|
1.78
|
0.752
|
(-9.3, 12.87)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
39.24
|
0.007
|
(10.59, 67.89)
|
[1] “Visit = V06” [1] “Model = ROI41 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI41 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
1091.69
|
<0.001
|
(1004.5, 1178.88)
|
|
RiskGroupHR-ASD
|
-47.90
|
0.733
|
(-324.89, 229.1)
|
|
SCQ_Pro_Score
|
1.98
|
0.334
|
(-2.05, 6.01)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
1.69
|
0.778
|
(-10.12, 13.49)
|
[1] “Visit = V12” [1] “Model = ROI41 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI41 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
1179.70
|
<0.001
|
(1088.07, 1271.32)
|
|
RiskGroupHR-ASD
|
-49.43
|
0.732
|
(-333.24, 234.39)
|
|
SCQ_Pro_Score
|
3.03
|
0.157
|
(-1.17, 7.23)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
3.76
|
0.535
|
(-8.17, 15.69)
|
[1] “Visit = V24” [1] “Model = ROI41 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI41 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
1367.68
|
<0.001
|
(1258.78, 1476.57)
|
|
RiskGroupHR-ASD
|
-347.90
|
0.024
|
(-649.73, -46.07)
|
|
SCQ_Pro_Score
|
0.55
|
0.829
|
(-4.49, 5.6)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
16.21
|
0.015
|
(3.17, 29.26)
|
[1] “Visit = V06” [1] “Model = ROI42 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI42 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
1240.37
|
<0.001
|
(1149.81, 1330.93)
|
|
RiskGroupHR-ASD
|
-84.51
|
0.563
|
(-372.22, 203.2)
|
|
SCQ_Pro_Score
|
0.19
|
0.929
|
(-4, 4.37)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
7.20
|
0.248
|
(-5.06, 19.46)
|
[1] “Visit = V12” [1] “Model = ROI42 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI42 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
1404.35
|
<0.001
|
(1304.36, 1504.35)
|
|
RiskGroupHR-ASD
|
-122.30
|
0.437
|
(-432.03, 187.43)
|
|
SCQ_Pro_Score
|
-0.68
|
0.77
|
(-5.27, 3.91)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
8.13
|
0.219
|
(-4.88, 21.15)
|
[1] “Visit = V24” [1] “Model = ROI42 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI42 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
1509.37
|
<0.001
|
(1383.5, 1635.24)
|
|
RiskGroupHR-ASD
|
-203.75
|
0.251
|
(-552.62, 145.13)
|
|
SCQ_Pro_Score
|
1.55
|
0.601
|
(-4.28, 7.38)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
10.94
|
0.154
|
(-4.14, 26.02)
|
[1] “Visit = V06” [1] “Model = ROI44 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI44 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
649.06
|
<0.001
|
(573.48, 724.65)
|
|
RiskGroupHR-ASD
|
-86.20
|
0.48
|
(-326.34, 153.93)
|
|
SCQ_Pro_Score
|
1.23
|
0.489
|
(-2.27, 4.72)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
7.21
|
0.166
|
(-3.02, 17.44)
|
[1] “Visit = V12” [1] “Model = ROI44 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI44 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
748.16
|
<0.001
|
(676.18, 820.15)
|
|
RiskGroupHR-ASD
|
-202.59
|
0.075
|
(-425.56, 20.39)
|
|
SCQ_Pro_Score
|
-0.78
|
0.64
|
(-4.08, 2.52)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
12.67
|
0.008
|
(3.3, 22.04)
|
[1] “Visit = V24” [1] “Model = ROI44 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI44 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
821.76
|
<0.001
|
(731.87, 911.65)
|
|
RiskGroupHR-ASD
|
-83.34
|
0.51
|
(-332.49, 165.82)
|
|
SCQ_Pro_Score
|
1.16
|
0.584
|
(-3.01, 5.33)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
6.36
|
0.246
|
(-4.41, 17.13)
|
[1] “Visit = V06” [1] “Model = ROI47 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI47 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
1461.19
|
<0.001
|
(1288.18, 1634.2)
|
|
RiskGroupHR-ASD
|
253.75
|
0.364
|
(-295.89, 803.39)
|
|
SCQ_Pro_Score
|
5.06
|
0.214
|
(-2.94, 13.05)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
-9.73
|
0.414
|
(-33.14, 13.69)
|
[1] “Visit = V12” [1] “Model = ROI47 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI47 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
1820.95
|
<0.001
|
(1640.01, 2001.88)
|
|
RiskGroupHR-ASD
|
-236.01
|
0.408
|
(-796.48, 324.45)
|
|
SCQ_Pro_Score
|
0.74
|
0.861
|
(-7.56, 9.03)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
12.62
|
0.292
|
(-10.93, 36.17)
|
[1] “Visit = V24” [1] “Model = ROI47 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI47 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
2134.90
|
<0.001
|
(1899.35, 2370.45)
|
|
RiskGroupHR-ASD
|
-515.96
|
0.121
|
(-1168.84, 136.91)
|
|
SCQ_Pro_Score
|
0.43
|
0.938
|
(-10.49, 11.35)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
26.65
|
0.064
|
(-1.56, 54.87)
|
[1] “Visit = V06” [1] “Model = ROI48 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI48 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
1354.03
|
<0.001
|
(1208.73, 1499.32)
|
|
RiskGroupHR-ASD
|
-526.19
|
0.026
|
(-987.78, -64.6)
|
|
SCQ_Pro_Score
|
-3.13
|
0.36
|
(-9.84, 3.59)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
25.02
|
0.013
|
(5.35, 44.69)
|
[1] “Visit = V12” [1] “Model = ROI48 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI48 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
1674.02
|
<0.001
|
(1526.04, 1822)
|
|
RiskGroupHR-ASD
|
-653.21
|
0.005
|
(-1111.6, -194.83)
|
|
SCQ_Pro_Score
|
-7.75
|
0.025
|
(-14.54, -0.96)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
30.06
|
0.002
|
(10.8, 49.32)
|
[1] “Visit = V24” [1] “Model = ROI48 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI48 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
1864.63
|
<0.001
|
(1673.81, 2055.45)
|
|
RiskGroupHR-ASD
|
-747.63
|
0.006
|
(-1276.52, -218.74)
|
|
SCQ_Pro_Score
|
-5.00
|
0.267
|
(-13.84, 3.85)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
33.26
|
0.005
|
(10.4, 56.12)
|
[1] “Visit = V06” [1] “Model = ROI59 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI59 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
645.49
|
<0.001
|
(572.33, 718.66)
|
|
RiskGroupHR-ASD
|
-177.46
|
0.134
|
(-409.91, 54.99)
|
|
SCQ_Pro_Score
|
-0.99
|
0.564
|
(-4.37, 2.39)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
9.70
|
0.055
|
(-0.2, 19.61)
|
[1] “Visit = V12” [1] “Model = ROI59 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI59 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
726.58
|
<0.001
|
(652.4, 800.76)
|
|
RiskGroupHR-ASD
|
-101.56
|
0.385
|
(-331.33, 128.22)
|
|
SCQ_Pro_Score
|
-0.86
|
0.62
|
(-4.26, 2.54)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
6.66
|
0.176
|
(-3, 16.31)
|
[1] “Visit = V24” [1] “Model = ROI59 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI59 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
841.75
|
<0.001
|
(741.94, 941.56)
|
|
RiskGroupHR-ASD
|
-174.47
|
0.215
|
(-451.11, 102.17)
|
|
SCQ_Pro_Score
|
-0.32
|
0.891
|
(-4.95, 4.3)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
7.48
|
0.219
|
(-4.47, 19.44)
|
[1] “Visit = V06” [1] “Model = ROI60 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI60 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
764.72
|
<0.001
|
(684.68, 844.75)
|
|
RiskGroupHR-ASD
|
-230.25
|
0.076
|
(-484.52, 24.03)
|
|
SCQ_Pro_Score
|
-0.09
|
0.962
|
(-3.79, 3.61)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
10.55
|
0.056
|
(-0.29, 21.38)
|
[1] “Visit = V12” [1] “Model = ROI60 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI60 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
892.25
|
<0.001
|
(809.43, 975.08)
|
|
RiskGroupHR-ASD
|
-178.95
|
0.171
|
(-435.51, 77.6)
|
|
SCQ_Pro_Score
|
-1.30
|
0.502
|
(-5.09, 2.5)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
8.56
|
0.119
|
(-2.22, 19.34)
|
[1] “Visit = V24” [1] “Model = ROI60 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI60 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
1057.35
|
<0.001
|
(944.95, 1169.76)
|
|
RiskGroupHR-ASD
|
-257.43
|
0.105
|
(-568.99, 54.13)
|
|
SCQ_Pro_Score
|
-3.05
|
0.25
|
(-8.26, 2.16)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
12.00
|
0.08
|
(-1.47, 25.47)
|
[1] “Visit = V06” [1] “Model = ROI77 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI77 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
724.08
|
<0.001
|
(628.22, 819.95)
|
|
RiskGroupHR-ASD
|
120.95
|
0.434
|
(-183.61, 425.51)
|
|
SCQ_Pro_Score
|
0.00
|
1
|
(-4.43, 4.43)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
-3.21
|
0.626
|
(-16.19, 9.77)
|
[1] “Visit = V12” [1] “Model = ROI77 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI77 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
835.58
|
<0.001
|
(743.34, 927.82)
|
|
RiskGroupHR-ASD
|
-87.11
|
0.549
|
(-372.83, 198.6)
|
|
SCQ_Pro_Score
|
-0.36
|
0.868
|
(-4.59, 3.87)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
4.14
|
0.498
|
(-7.87, 16.14)
|
[1] “Visit = V24” [1] “Model = ROI77 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI77 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
1115.22
|
<0.001
|
(983.52, 1246.93)
|
|
RiskGroupHR-ASD
|
-132.40
|
0.476
|
(-497.44, 232.65)
|
|
SCQ_Pro_Score
|
-0.66
|
0.833
|
(-6.76, 5.45)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
6.99
|
0.383
|
(-8.79, 22.77)
|
Linear Regression-Confounding Variables
Now, we conduct the same linear regression analysis as was done before but also include a set of possible confouding variables for eahch model. The variables are: Proband sex, study site for infant, age of the infant at MRI scan, age of Proband, and sex of infant. We print the same output as in the previous linear regrsssion analysis. [1] “Visit = V06” [1] “Model = EACSF ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
EACSF ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
82962.76
|
<0.001
|
(35325.26, 130600.26)
|
|
RiskGroupHR-ASD
|
9484.20
|
0.68
|
(-35875.47, 54843.88)
|
|
SCQ_Pro_Score
|
-145.00
|
0.721
|
(-945.09, 655.08)
|
|
Proband_SexFemale
|
-3201.20
|
0.575
|
(-14437.93, 8035.53)
|
|
SiteSEA
|
-113.35
|
0.985
|
(-12029.62, 11802.92)
|
|
SiteSTL
|
359.70
|
0.949
|
(-10826.09, 11545.49)
|
|
SiteUNC
|
1813.72
|
0.769
|
(-10374.62, 14002.05)
|
|
AgeMRI
|
-347.06
|
0.914
|
(-6660.14, 5966.02)
|
|
Pro_Age_SCQ_y
|
57.23
|
0.943
|
(-1509.77, 1624.23)
|
|
Cand_SexFemale
|
-7140.80
|
0.095
|
(-15547.22, 1265.62)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
36.92
|
0.97
|
(-1893.93, 1967.76)
|
[1] “Visit = V12” [1] “Model = EACSF ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
EACSF ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
90171.35
|
0.005
|
(27951.14, 152391.56)
|
|
RiskGroupHR-ASD
|
-18889.09
|
0.291
|
(-54077.9, 16299.73)
|
|
SCQ_Pro_Score
|
-410.88
|
0.154
|
(-977.28, 155.51)
|
|
Proband_SexFemale
|
1206.67
|
0.774
|
(-7060.25, 9473.59)
|
|
SiteSEA
|
-211.21
|
0.961
|
(-8641.26, 8218.84)
|
|
SiteSTL
|
-2301.08
|
0.556
|
(-9993.13, 5390.98)
|
|
SiteUNC
|
-1595.90
|
0.716
|
(-10221.01, 7029.21)
|
|
AgeMRI
|
-1157.25
|
0.624
|
(-5809.69, 3495.19)
|
|
Pro_Age_SCQ_y
|
1238.73
|
0.036
|
(83.55, 2393.91)
|
|
Cand_SexFemale
|
-2907.49
|
0.338
|
(-8874.27, 3059.28)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
1005.99
|
0.182
|
(-474.99, 2486.96)
|
[1] “Visit = V24” [1] “Model = EACSF ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
EACSF ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
106861.54
|
<0.001
|
(44926.69, 168796.39)
|
|
RiskGroupHR-ASD
|
-17625.51
|
0.185
|
(-43750.22, 8499.19)
|
|
SCQ_Pro_Score
|
-254.14
|
0.273
|
(-710.48, 202.19)
|
|
Proband_SexFemale
|
6555.75
|
0.056
|
(-182.74, 13294.24)
|
|
SiteSEA
|
3264.08
|
0.341
|
(-3477.13, 10005.3)
|
|
SiteSTL
|
-2541.00
|
0.391
|
(-8364.86, 3282.85)
|
|
SiteUNC
|
240.23
|
0.939
|
(-5942.61, 6423.07)
|
|
AgeMRI
|
-1244.88
|
0.315
|
(-3681.62, 1191.87)
|
|
Pro_Age_SCQ_y
|
431.55
|
0.323
|
(-427.72, 1290.82)
|
|
Cand_SexFemale
|
-7737.50
|
0.001
|
(-12357.25, -3117.74)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
802.21
|
0.164
|
(-329.15, 1933.56)
|
[1] “Visit = V06” [1] “Model = TCV ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
TCV ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
705244.70
|
<0.001
|
(599542.42, 810946.98)
|
|
RiskGroupHR-ASD
|
-88711.25
|
0.073
|
(-185931.09, 8508.58)
|
|
SCQ_Pro_Score
|
-48.44
|
0.957
|
(-1805.58, 1708.7)
|
|
Proband_SexFemale
|
-8192.91
|
0.522
|
(-33401.98, 17016.15)
|
|
SiteSEA
|
-17193.19
|
0.208
|
(-44003.46, 9617.08)
|
|
SiteSTL
|
-8305.16
|
0.518
|
(-33564.69, 16954.36)
|
|
SiteUNC
|
7063.35
|
0.609
|
(-20161.51, 34288.22)
|
|
AgeMRI
|
25605.68
|
<0.001
|
(11596.76, 39614.6)
|
|
Pro_Age_SCQ_y
|
-636.04
|
0.728
|
(-4230.82, 2958.73)
|
|
Cand_SexFemale
|
-64426.99
|
<0.001
|
(-83474.89, -45379.09)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
4232.82
|
0.048
|
(46.34, 8419.3)
|
[1] “Visit = V12” [1] “Model = TCV ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
TCV ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
733714.07
|
<0.001
|
(551378.79, 916049.35)
|
|
RiskGroupHR-ASD
|
-102123.65
|
0.062
|
(-209508.34, 5261.04)
|
|
SCQ_Pro_Score
|
-876.18
|
0.307
|
(-2563.11, 810.76)
|
|
Proband_SexFemale
|
566.82
|
0.963
|
(-23548.5, 24682.14)
|
|
SiteSEA
|
2211.07
|
0.862
|
(-22889.83, 27311.98)
|
|
SiteSTL
|
-113.84
|
0.992
|
(-23454.94, 23227.26)
|
|
SiteUNC
|
12430.63
|
0.338
|
(-13074.95, 37936.22)
|
|
AgeMRI
|
9073.65
|
0.193
|
(-4616, 22763.31)
|
|
Pro_Age_SCQ_y
|
85.43
|
0.961
|
(-3356.26, 3527.11)
|
|
Cand_SexFemale
|
-67414.52
|
<0.001
|
(-85248.86, -49580.18)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
5330.43
|
0.021
|
(804.24, 9856.61)
|
[1] “Visit = V24” [1] “Model = TCV ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
TCV ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
607379.50
|
<0.001
|
(306263.61, 908495.39)
|
|
RiskGroupHR-ASD
|
-147766.89
|
0.02
|
(-272128.41, -23405.38)
|
|
SCQ_Pro_Score
|
-384.99
|
0.722
|
(-2512.46, 1742.47)
|
|
Proband_SexFemale
|
5948.05
|
0.702
|
(-24686.22, 36582.32)
|
|
SiteSEA
|
-13691.41
|
0.394
|
(-45264.43, 17881.61)
|
|
SiteSTL
|
-1205.90
|
0.93
|
(-28118.09, 25706.29)
|
|
SiteUNC
|
-7878.42
|
0.598
|
(-37246.79, 21489.94)
|
|
AgeMRI
|
15352.78
|
0.012
|
(3469.71, 27235.84)
|
|
Pro_Age_SCQ_y
|
-355.65
|
0.86
|
(-4322.88, 3611.59)
|
|
Cand_SexFemale
|
-92632.26
|
<0.001
|
(-113971.55, -71292.97)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
7035.84
|
0.01
|
(1687.73, 12383.96)
|
[1] “Visit = V06” [1] “Model = TSA ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
TSA ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
52918.51
|
<0.001
|
(45893.3, 59943.73)
|
|
RiskGroupHR-ASD
|
-3731.88
|
0.316
|
(-11051.46, 3587.69)
|
|
SCQ_Pro_Score
|
-22.51
|
0.689
|
(-133.29, 88.28)
|
|
Proband_SexFemale
|
-157.18
|
0.858
|
(-1887.54, 1573.18)
|
|
SiteSEA
|
-226.66
|
0.797
|
(-1960.55, 1507.24)
|
|
SiteSTL
|
66.57
|
0.936
|
(-1571.46, 1704.59)
|
|
SiteUNC
|
1190.66
|
0.196
|
(-618.83, 3000.16)
|
|
AgeMRI
|
1196.10
|
0.013
|
(254.81, 2137.4)
|
|
Pro_Age_SCQ_y
|
24.16
|
0.838
|
(-207.97, 256.28)
|
|
Cand_SexFemale
|
-5119.58
|
<0.001
|
(-6321.69, -3917.46)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
207.68
|
0.19
|
(-103.5, 518.87)
|
[1] “Visit = V12” [1] “Model = TSA ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
TSA ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
55879.57
|
<0.001
|
(42536.63, 69222.51)
|
|
RiskGroupHR-ASD
|
-8994.51
|
0.024
|
(-16819.23, -1169.79)
|
|
SCQ_Pro_Score
|
-87.87
|
0.157
|
(-209.7, 33.96)
|
|
Proband_SexFemale
|
627.59
|
0.494
|
(-1177.02, 2432.2)
|
|
SiteSEA
|
547.37
|
0.562
|
(-1311.57, 2406.31)
|
|
SiteSTL
|
404.47
|
0.642
|
(-1306.76, 2115.69)
|
|
SiteUNC
|
454.11
|
0.634
|
(-1421.17, 2329.38)
|
|
AgeMRI
|
1067.19
|
0.038
|
(61.13, 2073.24)
|
|
Pro_Age_SCQ_y
|
40.06
|
0.754
|
(-211.27, 291.39)
|
|
Cand_SexFemale
|
-5026.89
|
<0.001
|
(-6330.69, -3723.1)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
439.84
|
0.009
|
(110.09, 769.6)
|
[1] “Visit = V24” [1] “Model = TSA ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
TSA ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
57021.74
|
<0.001
|
(36013.24, 78030.24)
|
|
RiskGroupHR-ASD
|
-12278.72
|
0.007
|
(-21125.83, -3431.6)
|
|
SCQ_Pro_Score
|
-16.72
|
0.827
|
(-167.41, 133.98)
|
|
Proband_SexFemale
|
618.65
|
0.567
|
(-1510.8, 2748.1)
|
|
SiteSEA
|
565.81
|
0.617
|
(-1664.02, 2795.63)
|
|
SiteSTL
|
1019.43
|
0.29
|
(-876.02, 2914.87)
|
|
SiteUNC
|
469.36
|
0.655
|
(-1600.77, 2539.48)
|
|
AgeMRI
|
946.94
|
0.025
|
(117.82, 1776.06)
|
|
Pro_Age_SCQ_y
|
-16.38
|
0.908
|
(-295.31, 262.56)
|
|
Cand_SexFemale
|
-6710.01
|
<0.001
|
(-8212.42, -5207.6)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
570.29
|
0.004
|
(187.07, 953.51)
|
[1] “Visit = V06” [1] “Model = CCbody ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
CCbody ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
0.30
|
<0.001
|
(0.27, 0.34)
|
|
RiskGroupHR-ASD
|
-0.03
|
0.095
|
(-0.06, 0.01)
|
|
SCQ_Pro_Score
|
0.00
|
0.251
|
(0, 0)
|
|
Proband_SexFemale
|
0.00
|
0.276
|
(0, 0.01)
|
|
SiteSEA
|
-0.02
|
0.003
|
(-0.02, -0.01)
|
|
SiteSTL
|
-0.02
|
<0.001
|
(-0.03, -0.01)
|
|
SiteUNC
|
-0.01
|
0.011
|
(-0.02, 0)
|
|
AgeMRI
|
0.01
|
<0.001
|
(0.01, 0.02)
|
|
Pro_Age_SCQ_y
|
0.00
|
0.317
|
(0, 0)
|
|
Cand_SexFemale
|
0.00
|
0.692
|
(-0.01, 0.01)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
0.00
|
0.082
|
(0, 0)
|
[1] “Visit = V12” [1] “Model = CCbody ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
CCbody ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
0.35
|
<0.001
|
(0.27, 0.42)
|
|
RiskGroupHR-ASD
|
0.01
|
0.766
|
(-0.04, 0.05)
|
|
SCQ_Pro_Score
|
0.00
|
0.353
|
(0, 0)
|
|
Proband_SexFemale
|
0.00
|
0.553
|
(-0.01, 0.01)
|
|
SiteSEA
|
-0.01
|
0.119
|
(-0.02, 0)
|
|
SiteSTL
|
-0.01
|
0.009
|
(-0.02, 0)
|
|
SiteUNC
|
-0.01
|
0.281
|
(-0.01, 0)
|
|
AgeMRI
|
0.01
|
0.023
|
(0, 0.01)
|
|
Pro_Age_SCQ_y
|
0.00
|
0.774
|
(0, 0)
|
|
Cand_SexFemale
|
0.00
|
0.852
|
(-0.01, 0.01)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
0.00
|
0.885
|
(0, 0)
|
[1] “Visit = V24” [1] “Model = CCbody ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
CCbody ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
0.45
|
<0.001
|
(0.33, 0.56)
|
|
RiskGroupHR-ASD
|
0.00
|
0.916
|
(-0.05, 0.05)
|
|
SCQ_Pro_Score
|
0.00
|
0.704
|
(0, 0)
|
|
Proband_SexFemale
|
0.00
|
0.469
|
(-0.02, 0.01)
|
|
SiteSEA
|
0.00
|
0.922
|
(-0.01, 0.01)
|
|
SiteSTL
|
-0.01
|
0.069
|
(-0.02, 0)
|
|
SiteUNC
|
0.00
|
0.455
|
(-0.02, 0.01)
|
|
AgeMRI
|
0.00
|
0.57
|
(0, 0.01)
|
|
Pro_Age_SCQ_y
|
0.00
|
0.372
|
(0, 0)
|
|
Cand_SexFemale
|
-0.01
|
0.086
|
(-0.02, 0)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
0.00
|
0.929
|
(0, 0)
|
[1] “Visit = V06” [1] “Model = CCGenu ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
CCGenu ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
0.31
|
<0.001
|
(0.27, 0.35)
|
|
RiskGroupHR-ASD
|
-0.02
|
0.222
|
(-0.06, 0.01)
|
|
SCQ_Pro_Score
|
0.00
|
0.501
|
(0, 0)
|
|
Proband_SexFemale
|
0.00
|
0.803
|
(-0.01, 0.01)
|
|
SiteSEA
|
-0.01
|
0.226
|
(-0.02, 0)
|
|
SiteSTL
|
-0.01
|
0.066
|
(-0.02, 0)
|
|
SiteUNC
|
0.00
|
0.433
|
(-0.01, 0.01)
|
|
AgeMRI
|
0.01
|
<0.001
|
(0.01, 0.02)
|
|
Pro_Age_SCQ_y
|
0.00
|
0.941
|
(0, 0)
|
|
Cand_SexFemale
|
0.00
|
0.465
|
(-0.01, 0)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
0.00
|
0.187
|
(0, 0)
|
[1] “Visit = V12” [1] “Model = CCGenu ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
CCGenu ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
0.33
|
<0.001
|
(0.25, 0.41)
|
|
RiskGroupHR-ASD
|
0.00
|
0.983
|
(-0.05, 0.05)
|
|
SCQ_Pro_Score
|
0.00
|
0.213
|
(0, 0)
|
|
Proband_SexFemale
|
0.00
|
0.506
|
(-0.01, 0.01)
|
|
SiteSEA
|
-0.01
|
0.347
|
(-0.02, 0.01)
|
|
SiteSTL
|
0.00
|
0.388
|
(-0.01, 0.01)
|
|
SiteUNC
|
0.00
|
0.963
|
(-0.01, 0.01)
|
|
AgeMRI
|
0.01
|
0.01
|
(0, 0.01)
|
|
Pro_Age_SCQ_y
|
0.00
|
0.598
|
(0, 0)
|
|
Cand_SexFemale
|
0.00
|
0.491
|
(-0.01, 0)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
0.00
|
0.958
|
(0, 0)
|
[1] “Visit = V24” [1] “Model = CCGenu ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
CCGenu ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
0.33
|
<0.001
|
(0.21, 0.46)
|
|
RiskGroupHR-ASD
|
-0.02
|
0.532
|
(-0.07, 0.04)
|
|
SCQ_Pro_Score
|
0.00
|
0.105
|
(0, 0)
|
|
Proband_SexFemale
|
-0.01
|
0.325
|
(-0.02, 0.01)
|
|
SiteSEA
|
-0.01
|
0.214
|
(-0.02, 0.01)
|
|
SiteSTL
|
-0.01
|
0.036
|
(-0.02, 0)
|
|
SiteUNC
|
-0.01
|
0.224
|
(-0.02, 0)
|
|
AgeMRI
|
0.01
|
0.017
|
(0, 0.01)
|
|
Pro_Age_SCQ_y
|
0.00
|
0.324
|
(0, 0)
|
|
Cand_SexFemale
|
-0.01
|
0.12
|
(-0.02, 0)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
0.00
|
0.613
|
(0, 0)
|
[1] “Visit = V06” [1] “Model = CCSplenium ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
CCSplenium ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
0.33
|
<0.001
|
(0.28, 0.38)
|
|
RiskGroupHR-ASD
|
-0.06
|
0.021
|
(-0.11, -0.01)
|
|
SCQ_Pro_Score
|
0.00
|
0.643
|
(0, 0)
|
|
Proband_SexFemale
|
0.00
|
0.915
|
(-0.01, 0.01)
|
|
SiteSEA
|
-0.01
|
0.297
|
(-0.02, 0.01)
|
|
SiteSTL
|
-0.02
|
<0.001
|
(-0.04, -0.01)
|
|
SiteUNC
|
-0.01
|
0.102
|
(-0.02, 0)
|
|
AgeMRI
|
0.02
|
<0.001
|
(0.01, 0.03)
|
|
Pro_Age_SCQ_y
|
0.00
|
0.515
|
(0, 0)
|
|
Cand_SexFemale
|
0.00
|
0.44
|
(-0.01, 0.01)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
0.00
|
0.022
|
(0, 0)
|
[1] “Visit = V12” [1] “Model = CCSplenium ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
CCSplenium ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
0.43
|
<0.001
|
(0.33, 0.52)
|
|
RiskGroupHR-ASD
|
0.03
|
0.313
|
(-0.03, 0.09)
|
|
SCQ_Pro_Score
|
0.00
|
0.307
|
(0, 0)
|
|
Proband_SexFemale
|
0.00
|
0.789
|
(-0.01, 0.01)
|
|
SiteSEA
|
0.00
|
0.873
|
(-0.01, 0.01)
|
|
SiteSTL
|
-0.01
|
0.074
|
(-0.02, 0)
|
|
SiteUNC
|
0.00
|
0.482
|
(-0.01, 0.02)
|
|
AgeMRI
|
0.01
|
0.096
|
(0, 0.01)
|
|
Pro_Age_SCQ_y
|
0.00
|
0.966
|
(0, 0)
|
|
Cand_SexFemale
|
0.00
|
0.561
|
(-0.01, 0.01)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
0.00
|
0.354
|
(0, 0)
|
[1] “Visit = V24” [1] “Model = CCSplenium ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
CCSplenium ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
0.55
|
<0.001
|
(0.42, 0.68)
|
|
RiskGroupHR-ASD
|
-0.01
|
0.728
|
(-0.06, 0.04)
|
|
SCQ_Pro_Score
|
0.00
|
0.315
|
(0, 0)
|
|
Proband_SexFemale
|
0.00
|
0.619
|
(-0.01, 0.02)
|
|
SiteSEA
|
0.00
|
0.824
|
(-0.02, 0.01)
|
|
SiteSTL
|
-0.01
|
0.082
|
(-0.02, 0)
|
|
SiteUNC
|
0.00
|
0.914
|
(-0.01, 0.01)
|
|
AgeMRI
|
0.00
|
0.927
|
(-0.01, 0)
|
|
Pro_Age_SCQ_y
|
0.00
|
0.074
|
(0, 0)
|
|
Cand_SexFemale
|
-0.01
|
0.097
|
(-0.02, 0)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
0.00
|
0.933
|
(0, 0)
|
[1] “Visit = V06” [1] “Model = ROI01 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI01 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
937.94
|
<0.001
|
(667.24, 1208.65)
|
|
RiskGroupHR-ASD
|
324.90
|
0.024
|
(42.85, 606.94)
|
|
SCQ_Pro_Score
|
0.08
|
0.969
|
(-4.19, 4.35)
|
|
Proband_SexFemale
|
50.03
|
0.14
|
(-16.64, 116.71)
|
|
SiteSEA
|
-11.11
|
0.743
|
(-77.92, 55.7)
|
|
SiteSTL
|
46.13
|
0.151
|
(-16.99, 109.25)
|
|
SiteUNC
|
20.26
|
0.567
|
(-49.47, 89.98)
|
|
AgeMRI
|
41.96
|
0.024
|
(5.68, 78.23)
|
|
Pro_Age_SCQ_y
|
9.41
|
0.039
|
(0.47, 18.36)
|
|
Cand_SexFemale
|
-98.79
|
<0.001
|
(-145.11, -52.47)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
-9.83
|
0.108
|
(-21.82, 2.16)
|
[1] “Visit = V12” [1] “Model = ROI01 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI01 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
1549.91
|
<0.001
|
(1074.31, 2025.5)
|
|
RiskGroupHR-ASD
|
136.73
|
0.335
|
(-142.18, 415.63)
|
|
SCQ_Pro_Score
|
-1.77
|
0.422
|
(-6.12, 2.57)
|
|
Proband_SexFemale
|
44.41
|
0.175
|
(-19.92, 108.73)
|
|
SiteSEA
|
-2.80
|
0.934
|
(-69.06, 63.46)
|
|
SiteSTL
|
65.10
|
0.037
|
(4.11, 126.1)
|
|
SiteUNC
|
4.82
|
0.887
|
(-62.02, 71.66)
|
|
AgeMRI
|
-6.36
|
0.727
|
(-42.22, 29.5)
|
|
Pro_Age_SCQ_y
|
4.46
|
0.327
|
(-4.49, 13.42)
|
|
Cand_SexFemale
|
-116.91
|
<0.001
|
(-163.38, -70.44)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
-3.39
|
0.571
|
(-15.14, 8.37)
|
[1] “Visit = V24” [1] “Model = ROI01 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI01 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
677.76
|
0.116
|
(-167.91, 1523.44)
|
|
RiskGroupHR-ASD
|
-146.59
|
0.418
|
(-502.72, 209.54)
|
|
SCQ_Pro_Score
|
0.97
|
0.752
|
(-5.09, 7.04)
|
|
Proband_SexFemale
|
10.01
|
0.818
|
(-75.71, 95.72)
|
|
SiteSEA
|
-77.25
|
0.091
|
(-167.01, 12.51)
|
|
SiteSTL
|
38.23
|
0.324
|
(-38.07, 114.53)
|
|
SiteUNC
|
-25.53
|
0.547
|
(-108.86, 57.8)
|
|
AgeMRI
|
41.34
|
0.015
|
(7.96, 74.71)
|
|
Pro_Age_SCQ_y
|
-2.23
|
0.695
|
(-13.46, 9)
|
|
Cand_SexFemale
|
-152.39
|
<0.001
|
(-212.86, -91.91)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
7.16
|
0.361
|
(-8.27, 22.59)
|
[1] “Visit = V06” [1] “Model = ROI02 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI02 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
967.31
|
<0.001
|
(684.54, 1250.08)
|
|
RiskGroupHR-ASD
|
278.85
|
0.063
|
(-15.78, 573.47)
|
|
SCQ_Pro_Score
|
-0.72
|
0.749
|
(-5.18, 3.73)
|
|
Proband_SexFemale
|
85.10
|
0.017
|
(15.45, 154.75)
|
|
SiteSEA
|
61.75
|
0.083
|
(-8.04, 131.54)
|
|
SiteSTL
|
73.92
|
0.028
|
(7.99, 139.85)
|
|
SiteUNC
|
71.89
|
0.053
|
(-0.94, 144.73)
|
|
AgeMRI
|
42.59
|
0.028
|
(4.7, 80.48)
|
|
Pro_Age_SCQ_y
|
1.36
|
0.774
|
(-7.98, 10.7)
|
|
Cand_SexFemale
|
-114.05
|
<0.001
|
(-162.44, -65.67)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
-8.64
|
0.175
|
(-21.17, 3.88)
|
[1] “Visit = V12” [1] “Model = ROI02 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI02 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
1333.15
|
<0.001
|
(852.87, 1813.42)
|
|
RiskGroupHR-ASD
|
229.14
|
0.11
|
(-52.5, 510.79)
|
|
SCQ_Pro_Score
|
-1.60
|
0.472
|
(-5.99, 2.78)
|
|
Proband_SexFemale
|
55.86
|
0.092
|
(-9.1, 120.81)
|
|
SiteSEA
|
21.10
|
0.535
|
(-45.81, 88.02)
|
|
SiteSTL
|
56.79
|
0.071
|
(-4.81, 118.38)
|
|
SiteUNC
|
29.33
|
0.393
|
(-38.17, 96.83)
|
|
AgeMRI
|
13.01
|
0.48
|
(-23.21, 49.22)
|
|
Pro_Age_SCQ_y
|
-2.43
|
0.598
|
(-11.47, 6.62)
|
|
Cand_SexFemale
|
-117.16
|
<0.001
|
(-164.09, -70.23)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
-7.37
|
0.222
|
(-19.24, 4.5)
|
[1] “Visit = V24” [1] “Model = ROI02 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI02 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
1034.59
|
0.006
|
(296.91, 1772.27)
|
|
RiskGroupHR-ASD
|
54.15
|
0.731
|
(-256.5, 364.8)
|
|
SCQ_Pro_Score
|
1.46
|
0.587
|
(-3.83, 6.75)
|
|
Proband_SexFemale
|
54.55
|
0.152
|
(-20.22, 129.32)
|
|
SiteSEA
|
-19.43
|
0.625
|
(-97.73, 58.86)
|
|
SiteSTL
|
45.15
|
0.183
|
(-21.4, 111.71)
|
|
SiteUNC
|
20.15
|
0.585
|
(-52.54, 92.84)
|
|
AgeMRI
|
24.32
|
0.101
|
(-4.79, 53.43)
|
|
Pro_Age_SCQ_y
|
-3.44
|
0.489
|
(-13.24, 6.35)
|
|
Cand_SexFemale
|
-139.10
|
<0.001
|
(-191.85, -86.34)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
0.19
|
0.977
|
(-13.26, 13.65)
|
[1] “Visit = V06” [1] “Model = ROI08 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI08 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
2110.46
|
<0.001
|
(1561.2, 2659.72)
|
|
RiskGroupHR-ASD
|
-287.32
|
0.323
|
(-859.59, 284.95)
|
|
SCQ_Pro_Score
|
-1.42
|
0.746
|
(-10.09, 7.24)
|
|
Proband_SexFemale
|
-14.29
|
0.835
|
(-149.58, 121)
|
|
SiteSEA
|
33.56
|
0.626
|
(-102, 169.13)
|
|
SiteSTL
|
30.01
|
0.644
|
(-98.06, 158.08)
|
|
SiteUNC
|
140.51
|
0.052
|
(-0.97, 281.98)
|
|
AgeMRI
|
-21.63
|
0.563
|
(-95.23, 51.96)
|
|
Pro_Age_SCQ_y
|
-1.38
|
0.881
|
(-19.53, 16.77)
|
|
Cand_SexFemale
|
-238.84
|
<0.001
|
(-332.83, -144.86)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
16.87
|
0.173
|
(-7.46, 41.2)
|
[1] “Visit = V12” [1] “Model = ROI08 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI08 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
1680.50
|
<0.001
|
(710.54, 2650.46)
|
|
RiskGroupHR-ASD
|
-259.30
|
0.37
|
(-828.11, 309.52)
|
|
SCQ_Pro_Score
|
-2.70
|
0.549
|
(-11.55, 6.16)
|
|
Proband_SexFemale
|
61.18
|
0.359
|
(-70, 192.37)
|
|
SiteSEA
|
-55.72
|
0.417
|
(-190.85, 79.42)
|
|
SiteSTL
|
31.97
|
0.613
|
(-92.43, 156.37)
|
|
SiteUNC
|
-0.30
|
0.997
|
(-136.62, 136.03)
|
|
AgeMRI
|
44.38
|
0.233
|
(-28.75, 117.52)
|
|
Pro_Age_SCQ_y
|
1.16
|
0.9
|
(-17.11, 19.43)
|
|
Cand_SexFemale
|
-204.49
|
<0.001
|
(-299.27, -109.71)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
18.61
|
0.128
|
(-5.36, 42.58)
|
[1] “Visit = V24” [1] “Model = ROI08 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI08 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
1949.91
|
0.013
|
(419.48, 3480.34)
|
|
RiskGroupHR-ASD
|
-619.20
|
0.06
|
(-1263.69, 25.3)
|
|
SCQ_Pro_Score
|
2.53
|
0.65
|
(-8.45, 13.51)
|
|
Proband_SexFemale
|
83.41
|
0.29
|
(-71.72, 238.53)
|
|
SiteSEA
|
-12.55
|
0.879
|
(-174.99, 149.89)
|
|
SiteSTL
|
62.76
|
0.371
|
(-75.32, 200.84)
|
|
SiteUNC
|
30.78
|
0.688
|
(-120.02, 181.59)
|
|
AgeMRI
|
29.15
|
0.343
|
(-31.25, 89.55)
|
|
Pro_Age_SCQ_y
|
-1.65
|
0.873
|
(-21.97, 18.67)
|
|
Cand_SexFemale
|
-292.21
|
<0.001
|
(-401.66, -182.76)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
35.26
|
0.014
|
(7.35, 63.18)
|
[1] “Visit = V06” [1] “Model = ROI41 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI41 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
1095.08
|
<0.001
|
(839.82, 1350.33)
|
|
RiskGroupHR-ASD
|
-52.72
|
0.696
|
(-318.67, 213.23)
|
|
SCQ_Pro_Score
|
2.82
|
0.169
|
(-1.21, 6.84)
|
|
Proband_SexFemale
|
-31.49
|
0.324
|
(-94.36, 31.38)
|
|
SiteSEA
|
26.09
|
0.415
|
(-36.91, 89.09)
|
|
SiteSTL
|
6.29
|
0.835
|
(-53.22, 65.81)
|
|
SiteUNC
|
45.24
|
0.176
|
(-20.51, 110.99)
|
|
AgeMRI
|
7.85
|
0.651
|
(-26.35, 42.05)
|
|
Pro_Age_SCQ_y
|
-7.93
|
0.065
|
(-16.37, 0.5)
|
|
Cand_SexFemale
|
-95.99
|
<0.001
|
(-139.67, -52.31)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
-0.26
|
0.963
|
(-11.57, 11.04)
|
[1] “Visit = V12” [1] “Model = ROI41 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI41 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
732.67
|
0.003
|
(259.92, 1205.41)
|
|
RiskGroupHR-ASD
|
-22.97
|
0.87
|
(-300.2, 254.26)
|
|
SCQ_Pro_Score
|
3.57
|
0.104
|
(-0.74, 7.89)
|
|
Proband_SexFemale
|
-11.45
|
0.725
|
(-75.38, 52.49)
|
|
SiteSEA
|
26.73
|
0.425
|
(-39.13, 92.6)
|
|
SiteSTL
|
1.09
|
0.972
|
(-59.54, 61.72)
|
|
SiteUNC
|
19.37
|
0.566
|
(-47.07, 85.81)
|
|
AgeMRI
|
37.46
|
0.039
|
(1.82, 73.11)
|
|
Pro_Age_SCQ_y
|
-1.65
|
0.715
|
(-10.56, 7.25)
|
|
Cand_SexFemale
|
-86.37
|
<0.001
|
(-132.57, -40.18)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
1.19
|
0.842
|
(-10.5, 12.87)
|
[1] “Visit = V24” [1] “Model = ROI41 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI41 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
1153.98
|
0.002
|
(441.53, 1866.43)
|
|
RiskGroupHR-ASD
|
-335.03
|
0.029
|
(-635.05, -35)
|
|
SCQ_Pro_Score
|
0.77
|
0.766
|
(-4.34, 5.88)
|
|
Proband_SexFemale
|
10.68
|
0.771
|
(-61.53, 82.9)
|
|
SiteSEA
|
61.36
|
0.111
|
(-14.26, 136.97)
|
|
SiteSTL
|
44.10
|
0.178
|
(-20.18, 108.38)
|
|
SiteUNC
|
33.93
|
0.342
|
(-36.27, 104.14)
|
|
AgeMRI
|
8.94
|
0.532
|
(-19.18, 37.06)
|
|
Pro_Age_SCQ_y
|
-1.19
|
0.804
|
(-10.65, 8.27)
|
|
Cand_SexFemale
|
-103.08
|
<0.001
|
(-154.03, -52.13)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
14.60
|
0.028
|
(1.61, 27.6)
|
[1] “Visit = V06” [1] “Model = ROI42 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI42 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
1208.77
|
<0.001
|
(937.94, 1479.6)
|
|
RiskGroupHR-ASD
|
-57.26
|
0.689
|
(-339.43, 224.92)
|
|
SCQ_Pro_Score
|
1.11
|
0.607
|
(-3.16, 5.39)
|
|
Proband_SexFemale
|
24.85
|
0.463
|
(-41.86, 91.55)
|
|
SiteSEA
|
46.24
|
0.174
|
(-20.61, 113.08)
|
|
SiteSTL
|
-30.93
|
0.335
|
(-94.08, 32.22)
|
|
SiteUNC
|
23.66
|
0.504
|
(-46.1, 93.42)
|
|
AgeMRI
|
7.03
|
0.703
|
(-29.26, 43.32)
|
|
Pro_Age_SCQ_y
|
-1.86
|
0.682
|
(-10.81, 7.09)
|
|
Cand_SexFemale
|
-72.36
|
0.002
|
(-118.7, -26.02)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
4.64
|
0.446
|
(-7.35, 16.64)
|
[1] “Visit = V12” [1] “Model = ROI42 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI42 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
995.33
|
<0.001
|
(483.99, 1506.66)
|
|
RiskGroupHR-ASD
|
-92.02
|
0.546
|
(-391.88, 207.84)
|
|
SCQ_Pro_Score
|
0.45
|
0.85
|
(-4.22, 5.12)
|
|
Proband_SexFemale
|
56.66
|
0.108
|
(-12.5, 125.82)
|
|
SiteSEA
|
54.19
|
0.135
|
(-17.04, 125.43)
|
|
SiteSTL
|
-10.08
|
0.762
|
(-75.66, 55.5)
|
|
SiteUNC
|
13.65
|
0.708
|
(-58.21, 85.52)
|
|
AgeMRI
|
33.15
|
0.092
|
(-5.41, 71.7)
|
|
Pro_Age_SCQ_y
|
-2.03
|
0.678
|
(-11.66, 7.6)
|
|
Cand_SexFemale
|
-96.74
|
<0.001
|
(-146.7, -46.77)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
5.30
|
0.409
|
(-7.34, 17.94)
|
[1] “Visit = V24” [1] “Model = ROI42 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI42 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
1471.84
|
<0.001
|
(662.17, 2281.51)
|
|
RiskGroupHR-ASD
|
-129.76
|
0.454
|
(-470.73, 211.21)
|
|
SCQ_Pro_Score
|
2.96
|
0.316
|
(-2.85, 8.77)
|
|
Proband_SexFemale
|
91.77
|
0.029
|
(9.7, 173.84)
|
|
SiteSEA
|
87.83
|
0.045
|
(1.89, 173.77)
|
|
SiteSTL
|
-1.91
|
0.959
|
(-74.96, 71.14)
|
|
SiteUNC
|
7.97
|
0.844
|
(-71.81, 87.76)
|
|
AgeMRI
|
1.15
|
0.944
|
(-30.81, 33.1)
|
|
Pro_Age_SCQ_y
|
0.48
|
0.929
|
(-10.27, 11.24)
|
|
Cand_SexFemale
|
-131.57
|
<0.001
|
(-189.48, -73.67)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
6.48
|
0.388
|
(-8.29, 21.25)
|
[1] “Visit = V06” [1] “Model = ROI44 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI44 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
590.98
|
<0.001
|
(362.73, 819.23)
|
|
RiskGroupHR-ASD
|
-98.21
|
0.416
|
(-336.03, 139.61)
|
|
SCQ_Pro_Score
|
1.40
|
0.443
|
(-2.2, 5)
|
|
Proband_SexFemale
|
-31.11
|
0.276
|
(-87.33, 25.11)
|
|
SiteSEA
|
-10.06
|
0.725
|
(-66.39, 46.28)
|
|
SiteSTL
|
17.06
|
0.528
|
(-36.16, 70.28)
|
|
SiteUNC
|
19.21
|
0.52
|
(-39.59, 78)
|
|
AgeMRI
|
15.58
|
0.316
|
(-15, 46.17)
|
|
Pro_Age_SCQ_y
|
-4.31
|
0.26
|
(-11.86, 3.23)
|
|
Cand_SexFemale
|
-64.31
|
0.001
|
(-103.37, -25.26)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
6.37
|
0.216
|
(-3.74, 16.48)
|
[1] “Visit = V12” [1] “Model = ROI44 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI44 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
930.56
|
<0.001
|
(550.94, 1310.17)
|
|
RiskGroupHR-ASD
|
-218.23
|
0.055
|
(-440.84, 4.39)
|
|
SCQ_Pro_Score
|
-1.12
|
0.526
|
(-4.58, 2.35)
|
|
Proband_SexFemale
|
-22.13
|
0.396
|
(-73.48, 29.21)
|
|
SiteSEA
|
-5.06
|
0.851
|
(-57.95, 47.82)
|
|
SiteSTL
|
-0.86
|
0.972
|
(-49.55, 47.82)
|
|
SiteUNC
|
-0.20
|
0.994
|
(-53.56, 53.15)
|
|
AgeMRI
|
-10.05
|
0.49
|
(-38.67, 18.57)
|
|
Pro_Age_SCQ_y
|
-3.35
|
0.357
|
(-10.5, 3.8)
|
|
Cand_SexFemale
|
-58.06
|
0.002
|
(-95.15, -20.96)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
12.70
|
0.008
|
(3.32, 22.08)
|
[1] “Visit = V24” [1] “Model = ROI44 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI44 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
678.90
|
0.027
|
(76.67, 1281.12)
|
|
RiskGroupHR-ASD
|
-63.23
|
0.624
|
(-316.84, 190.38)
|
|
SCQ_Pro_Score
|
1.38
|
0.530
|
(-2.94, 5.7)
|
|
Proband_SexFemale
|
8.50
|
0.784
|
(-52.55, 69.54)
|
|
SiteSEA
|
27.69
|
0.394
|
(-36.23, 91.61)
|
|
SiteSTL
|
11.51
|
0.677
|
(-42.83, 65.84)
|
|
SiteUNC
|
2.92
|
0.923
|
(-56.42, 62.26)
|
|
AgeMRI
|
5.96
|
0.622
|
(-17.81, 29.73)
|
|
Pro_Age_SCQ_y
|
0.57
|
0.887
|
(-7.42, 8.57)
|
|
Cand_SexFemale
|
-58.31
|
0.008
|
(-101.38, -15.24)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
4.97
|
0.373
|
(-6.01, 15.96)
|
[1] “Visit = V06” [1] “Model = ROI47 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI47 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
944.64
|
<0.001
|
(428.23, 1461.04)
|
|
RiskGroupHR-ASD
|
300.80
|
0.271
|
(-237.24, 838.84)
|
|
SCQ_Pro_Score
|
4.05
|
0.328
|
(-4.1, 12.19)
|
|
Proband_SexFemale
|
-65.95
|
0.308
|
(-193.14, 61.24)
|
|
SiteSEA
|
-13.85
|
0.83
|
(-141.3, 113.61)
|
|
SiteSTL
|
35.64
|
0.56
|
(-84.77, 156.05)
|
|
SiteUNC
|
42.39
|
0.53
|
(-90.63, 175.4)
|
|
AgeMRI
|
84.35
|
0.017
|
(15.15, 153.54)
|
|
Pro_Age_SCQ_y
|
5.56
|
0.521
|
(-11.5, 22.62)
|
|
Cand_SexFemale
|
-141.16
|
0.002
|
(-229.53, -52.8)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
-14.10
|
0.225
|
(-36.97, 8.77)
|
[1] “Visit = V12” [1] “Model = ROI47 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI47 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
1961.80
|
<0.001
|
(1017.64, 2905.95)
|
|
RiskGroupHR-ASD
|
-249.74
|
0.375
|
(-803.42, 303.95)
|
|
SCQ_Pro_Score
|
-1.63
|
0.709
|
(-10.25, 6.99)
|
|
Proband_SexFemale
|
-21.28
|
0.743
|
(-148.97, 106.42)
|
|
SiteSEA
|
39.66
|
0.553
|
(-91.88, 171.2)
|
|
SiteSTL
|
59.61
|
0.333
|
(-61.48, 180.69)
|
|
SiteUNC
|
103.17
|
0.127
|
(-29.53, 235.86)
|
|
AgeMRI
|
-6.36
|
0.86
|
(-77.55, 64.83)
|
|
Pro_Age_SCQ_y
|
2.85
|
0.752
|
(-14.93, 20.64)
|
|
Cand_SexFemale
|
-174.87
|
<0.001
|
(-267.13, -82.61)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
11.36
|
0.338
|
(-11.97, 34.69)
|
[1] “Visit = V24” [1] “Model = ROI47 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI47 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
157.86
|
0.841
|
(-1392.19, 1707.91)
|
|
RiskGroupHR-ASD
|
-487.47
|
0.142
|
(-1140.23, 165.28)
|
|
SCQ_Pro_Score
|
0.34
|
0.952
|
(-10.78, 11.46)
|
|
Proband_SexFemale
|
-39.06
|
0.625
|
(-196.18, 118.05)
|
|
SiteSEA
|
-72.46
|
0.386
|
(-236.98, 92.06)
|
|
SiteSTL
|
59.49
|
0.403
|
(-80.36, 199.34)
|
|
SiteUNC
|
-23.59
|
0.761
|
(-176.33, 129.15)
|
|
AgeMRI
|
81.28
|
0.009
|
(20.1, 142.45)
|
|
Pro_Age_SCQ_y
|
5.56
|
0.595
|
(-15.02, 26.14)
|
|
Cand_SexFemale
|
-149.61
|
0.008
|
(-260.46, -38.76)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
24.63
|
0.087
|
(-3.65, 52.9)
|
[1] “Visit = V06” [1] “Model = ROI48 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI48 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
1333.86
|
<0.001
|
(909.11, 1758.6)
|
|
RiskGroupHR-ASD
|
-582.35
|
0.01
|
(-1024.89, -139.81)
|
|
SCQ_Pro_Score
|
-3.81
|
0.263
|
(-10.51, 2.89)
|
|
Proband_SexFemale
|
5.97
|
0.91
|
(-98.65, 110.59)
|
|
SiteSEA
|
-54.87
|
0.303
|
(-159.7, 49.96)
|
|
SiteSTL
|
-6.31
|
0.9
|
(-105.34, 92.73)
|
|
SiteUNC
|
-10.27
|
0.853
|
(-119.67, 99.13)
|
|
AgeMRI
|
19.15
|
0.508
|
(-37.76, 76.06)
|
|
Pro_Age_SCQ_y
|
1.41
|
0.843
|
(-12.62, 15.45)
|
|
Cand_SexFemale
|
-191.03
|
<0.001
|
(-263.71, -118.35)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
24.44
|
0.011
|
(5.63, 43.26)
|
[1] “Visit = V12” [1] “Model = ROI48 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI48 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
1150.40
|
0.003
|
(387.44, 1913.37)
|
|
RiskGroupHR-ASD
|
-646.35
|
0.005
|
(-1093.77, -198.92)
|
|
SCQ_Pro_Score
|
-8.54
|
0.017
|
(-15.51, -1.57)
|
|
Proband_SexFemale
|
34.35
|
0.513
|
(-68.84, 137.54)
|
|
SiteSEA
|
36.36
|
0.501
|
(-69.93, 142.66)
|
|
SiteSTL
|
36.61
|
0.462
|
(-61.24, 134.46)
|
|
SiteUNC
|
-2.80
|
0.959
|
(-110.03, 104.43)
|
|
AgeMRI
|
44.09
|
0.132
|
(-13.43, 101.62)
|
|
Pro_Age_SCQ_y
|
4.72
|
0.518
|
(-9.65, 19.09)
|
|
Cand_SexFemale
|
-157.74
|
<0.001
|
(-232.29, -83.19)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
27.81
|
0.004
|
(8.96, 46.67)
|
[1] “Visit = V24” [1] “Model = ROI48 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI48 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
1229.66
|
0.05
|
(-1.87, 2461.2)
|
|
RiskGroupHR-ASD
|
-758.65
|
0.004
|
(-1277.28, -240.02)
|
|
SCQ_Pro_Score
|
-5.49
|
0.222
|
(-14.32, 3.35)
|
|
Proband_SexFemale
|
-25.52
|
0.687
|
(-150.35, 99.31)
|
|
SiteSEA
|
-5.88
|
0.929
|
(-136.59, 124.84)
|
|
SiteSTL
|
82.13
|
0.147
|
(-28.98, 193.24)
|
|
SiteUNC
|
16.80
|
0.785
|
(-104.55, 138.15)
|
|
AgeMRI
|
28.39
|
0.251
|
(-20.22, 76.99)
|
|
Pro_Age_SCQ_y
|
-0.76
|
0.927
|
(-17.11, 15.59)
|
|
Cand_SexFemale
|
-203.82
|
<0.001
|
(-291.89, -115.75)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
32.01
|
0.005
|
(9.54, 54.47)
|
[1] “Visit = V06” [1] “Model = ROI59 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI59 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
807.22
|
<0.001
|
(580.06, 1034.37)
|
|
RiskGroupHR-ASD
|
-209.23
|
0.083
|
(-445.9, 27.44)
|
|
SCQ_Pro_Score
|
-1.26
|
0.487
|
(-4.85, 2.32)
|
|
Proband_SexFemale
|
14.24
|
0.616
|
(-41.71, 70.19)
|
|
SiteSEA
|
4.34
|
0.879
|
(-51.72, 60.41)
|
|
SiteSTL
|
1.14
|
0.966
|
(-51.83, 54.1)
|
|
SiteUNC
|
4.61
|
0.877
|
(-53.9, 63.12)
|
|
AgeMRI
|
-21.87
|
0.158
|
(-52.3, 8.57)
|
|
Pro_Age_SCQ_y
|
-0.05
|
0.989
|
(-7.56, 7.45)
|
|
Cand_SexFemale
|
-35.72
|
0.071
|
(-74.59, 3.14)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
10.58
|
0.039
|
(0.52, 20.65)
|
[1] “Visit = V12” [1] “Model = ROI59 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI59 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
531.63
|
0.008
|
(138.5, 924.76)
|
|
RiskGroupHR-ASD
|
-92.28
|
0.431
|
(-322.82, 138.26)
|
|
SCQ_Pro_Score
|
-0.84
|
0.644
|
(-4.43, 2.75)
|
|
Proband_SexFemale
|
24.94
|
0.356
|
(-28.23, 78.11)
|
|
SiteSEA
|
44.22
|
0.113
|
(-10.55, 98.99)
|
|
SiteSTL
|
18.70
|
0.466
|
(-31.72, 69.12)
|
|
SiteUNC
|
-0.02
|
0.999
|
(-55.27, 55.23)
|
|
AgeMRI
|
14.00
|
0.353
|
(-15.64, 43.64)
|
|
Pro_Age_SCQ_y
|
2.35
|
0.532
|
(-5.05, 9.76)
|
|
Cand_SexFemale
|
-34.96
|
0.074
|
(-73.38, 3.45)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
5.79
|
0.242
|
(-3.93, 15.5)
|
[1] “Visit = V24” [1] “Model = ROI59 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI59 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
921.60
|
0.006
|
(264.8, 1578.41)
|
|
RiskGroupHR-ASD
|
-172.04
|
0.222
|
(-448.64, 104.55)
|
|
SCQ_Pro_Score
|
0.29
|
0.905
|
(-4.42, 5)
|
|
Proband_SexFemale
|
23.49
|
0.488
|
(-43.09, 90.06)
|
|
SiteSEA
|
54.45
|
0.125
|
(-15.26, 124.16)
|
|
SiteSTL
|
31.46
|
0.297
|
(-27.8, 90.72)
|
|
SiteUNC
|
1.23
|
0.97
|
(-63.49, 65.95)
|
|
AgeMRI
|
-2.23
|
0.865
|
(-28.15, 23.69)
|
|
Pro_Age_SCQ_y
|
-5.12
|
0.249
|
(-13.84, 3.6)
|
|
Cand_SexFemale
|
-83.94
|
<0.001
|
(-130.91, -36.97)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
6.57
|
0.281
|
(-5.41, 18.55)
|
[1] “Visit = V06” [1] “Model = ROI60 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI60 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
665.61
|
<0.001
|
(418.42, 912.81)
|
|
RiskGroupHR-ASD
|
-230.50
|
0.079
|
(-488.05, 27.05)
|
|
SCQ_Pro_Score
|
0.05
|
0.978
|
(-3.84, 3.95)
|
|
Proband_SexFemale
|
32.38
|
0.295
|
(-28.51, 93.26)
|
|
SiteSEA
|
-44.51
|
0.152
|
(-105.52, 16.5)
|
|
SiteSTL
|
-26.34
|
0.368
|
(-83.98, 31.29)
|
|
SiteUNC
|
-27.26
|
0.399
|
(-90.93, 36.41)
|
|
AgeMRI
|
18.84
|
0.263
|
(-14.28, 51.96)
|
|
Pro_Age_SCQ_y
|
1.61
|
0.698
|
(-6.56, 9.77)
|
|
Cand_SexFemale
|
-36.27
|
0.092
|
(-78.57, 6.03)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
10.10
|
0.07
|
(-0.85, 21.05)
|
[1] “Visit = V12” [1] “Model = ROI60 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI60 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
901.19
|
<0.001
|
(462.63, 1339.75)
|
|
RiskGroupHR-ASD
|
-170.58
|
0.193
|
(-427.77, 86.6)
|
|
SCQ_Pro_Score
|
-1.74
|
0.392
|
(-5.75, 2.26)
|
|
Proband_SexFemale
|
37.37
|
0.216
|
(-21.94, 96.69)
|
|
SiteSEA
|
-14.19
|
0.648
|
(-75.29, 46.91)
|
|
SiteSTL
|
-33.57
|
0.241
|
(-89.81, 22.68)
|
|
SiteUNC
|
-39.71
|
0.206
|
(-101.35, 21.93)
|
|
AgeMRI
|
0.50
|
0.976
|
(-32.57, 33.57)
|
|
Pro_Age_SCQ_y
|
5.56
|
0.186
|
(-2.7, 13.82)
|
|
Cand_SexFemale
|
-44.43
|
0.042
|
(-87.29, -1.58)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
7.84
|
0.155
|
(-3, 18.68)
|
[1] “Visit = V24” [1] “Model = ROI60 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI60 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
885.53
|
0.019
|
(148, 1623.07)
|
|
RiskGroupHR-ASD
|
-202.38
|
0.2
|
(-512.97, 108.21)
|
|
SCQ_Pro_Score
|
-2.65
|
0.325
|
(-7.94, 2.64)
|
|
Proband_SexFemale
|
74.56
|
0.051
|
(-0.2, 149.31)
|
|
SiteSEA
|
40.66
|
0.307
|
(-37.62, 118.94)
|
|
SiteSTL
|
2.52
|
0.941
|
(-64.02, 69.06)
|
|
SiteUNC
|
23.41
|
0.526
|
(-49.26, 96.09)
|
|
AgeMRI
|
5.77
|
0.696
|
(-23.33, 34.88)
|
|
Pro_Age_SCQ_y
|
6.33
|
0.204
|
(-3.46, 16.13)
|
|
Cand_SexFemale
|
-95.77
|
<0.001
|
(-148.51, -43.02)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
8.79
|
0.199
|
(-4.66, 22.24)
|
[1] “Visit = V06” [1] “Model = ROI77 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI77 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
614.60
|
<0.001
|
(326.66, 902.53)
|
|
RiskGroupHR-ASD
|
133.79
|
0.38
|
(-166.21, 433.79)
|
|
SCQ_Pro_Score
|
-0.87
|
0.707
|
(-5.41, 3.67)
|
|
Proband_SexFemale
|
9.71
|
0.787
|
(-61.21, 80.63)
|
|
SiteSEA
|
11.62
|
0.747
|
(-59.45, 82.68)
|
|
SiteSTL
|
34.87
|
0.307
|
(-32.27, 102)
|
|
SiteUNC
|
70.57
|
0.062
|
(-3.6, 144.73)
|
|
AgeMRI
|
17.36
|
0.376
|
(-21.22, 55.94)
|
|
Pro_Age_SCQ_y
|
3.33
|
0.491
|
(-6.19, 12.84)
|
|
Cand_SexFemale
|
-88.73
|
<0.001
|
(-138, -39.46)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
-5.04
|
0.436
|
(-17.8, 7.71)
|
[1] “Visit = V12” [1] “Model = ROI77 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI77 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
586.93
|
0.017
|
(105.19, 1068.67)
|
|
RiskGroupHR-ASD
|
-101.66
|
0.479
|
(-384.17, 180.85)
|
|
SCQ_Pro_Score
|
-1.53
|
0.493
|
(-5.93, 2.87)
|
|
Proband_SexFemale
|
13.46
|
0.684
|
(-51.69, 78.62)
|
|
SiteSEA
|
11.24
|
0.742
|
(-55.87, 78.36)
|
|
SiteSTL
|
59.03
|
0.061
|
(-2.75, 120.82)
|
|
SiteUNC
|
34.33
|
0.319
|
(-33.38, 102.04)
|
|
AgeMRI
|
20.48
|
0.268
|
(-15.84, 56.8)
|
|
Pro_Age_SCQ_y
|
2.90
|
0.530
|
(-6.18, 11.97)
|
|
Cand_SexFemale
|
-77.96
|
0.001
|
(-125.03, -30.88)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
3.94
|
0.515
|
(-7.97, 15.84)
|
[1] “Visit = V24” [1] “Model = ROI77 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI77 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
|
|
Estimate
|
p_value
|
CI_95
|
|
(Intercept)
|
-361.39
|
0.393
|
(-1194.41, 471.63)
|
|
RiskGroupHR-ASD
|
-83.01
|
0.641
|
(-433.81, 267.79)
|
|
SCQ_Pro_Score
|
0.65
|
0.83
|
(-5.32, 6.63)
|
|
Proband_SexFemale
|
-8.05
|
0.851
|
(-92.49, 76.38)
|
|
SiteSEA
|
4.07
|
0.928
|
(-84.35, 92.48)
|
|
SiteSTL
|
35.33
|
0.355
|
(-39.83, 110.49)
|
|
SiteUNC
|
-45.51
|
0.276
|
(-127.6, 36.57)
|
|
AgeMRI
|
61.22
|
<0.001
|
(28.34, 94.1)
|
|
Pro_Age_SCQ_y
|
-2.48
|
0.659
|
(-13.54, 8.58)
|
|
Cand_SexFemale
|
-132.80
|
<0.001
|
(-192.37, -73.23)
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
4.02
|
0.602
|
(-11.17, 19.22)
|
Effect Sizes
Using the linear regression results we can compute effect sizes for these associations. We consider two effect size definitions.
- Percent differences between LS means for brain measure in model of proband SCQ groups (High and Low), adjusted for potential confounders
- Cohen’s D for differences in brain measure between proband SCQ groups (High and Low), adjusted for potential confounders
We calculate these at 6 month, 12 month, and 24 month visits, for only HR-ASD infants.
## [1] "Visit = V06"
## [1] "Model = EACSF ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V12"
## [1] "Model = EACSF ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V24"
## [1] "Model = EACSF ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V06"
## [1] "Model = TCV ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V12"
## [1] "Model = TCV ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V24"
## [1] "Model = TCV ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V06"
## [1] "Model = TSA ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V12"
## [1] "Model = TSA ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V24"
## [1] "Model = TSA ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V06"
## [1] "Model = CCbody ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V12"
## [1] "Model = CCbody ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V24"
## [1] "Model = CCbody ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V06"
## [1] "Model = CCGenu ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V12"
## [1] "Model = CCGenu ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V24"
## [1] "Model = CCGenu ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V06"
## [1] "Model = CCSplenium ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V12"
## [1] "Model = CCSplenium ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V24"
## [1] "Model = CCSplenium ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V06"
## [1] "Model = ROI01 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V12"
## [1] "Model = ROI01 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V24"
## [1] "Model = ROI01 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V06"
## [1] "Model = ROI02 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V12"
## [1] "Model = ROI02 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V24"
## [1] "Model = ROI02 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V06"
## [1] "Model = ROI08 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V12"
## [1] "Model = ROI08 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V24"
## [1] "Model = ROI08 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V06"
## [1] "Model = ROI41 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V12"
## [1] "Model = ROI41 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V24"
## [1] "Model = ROI41 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V06"
## [1] "Model = ROI42 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V12"
## [1] "Model = ROI42 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V24"
## [1] "Model = ROI42 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V06"
## [1] "Model = ROI44 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V12"
## [1] "Model = ROI44 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V24"
## [1] "Model = ROI44 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V06"
## [1] "Model = ROI47 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V12"
## [1] "Model = ROI47 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V24"
## [1] "Model = ROI47 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V06"
## [1] "Model = ROI48 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V12"
## [1] "Model = ROI48 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V24"
## [1] "Model = ROI48 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V06"
## [1] "Model = ROI59 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V12"
## [1] "Model = ROI59 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V24"
## [1] "Model = ROI59 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V06"
## [1] "Model = ROI60 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V12"
## [1] "Model = ROI60 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V24"
## [1] "Model = ROI60 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V06"
## [1] "Model = ROI77 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V12"
## [1] "Model = ROI77 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit = V24"
## [1] "Model = ROI77 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
Mixed Models
Now we consider a longitudinal regression analysis using mixed effect models. These models are very similar to the linear regression models from before; the difference being that we include “random effects” in these models to tie together observations from the same infant. We include a random intercept and a random slope for time as the sole random effects in all of the models.
We provide the following output: regression parameter estimates, predicted trajectories for brain volume across time for each subject (colored by their diagnosis), and predicted trajectories for brain volume across Proband SCQ score for each subject at each time point (again colored by diagnosis).
Linear time effect
To model time in the fixed effects (along with the aforementioned random intercept, slope) we include the following:
- Slope for age
- Interaction term between age and diagnosis
and in the supplemental analyses we include the following as well:
- Interaction term between age and proband SCQ score
- Interaction term between age, diagnosis, and proband SCQ score
with the rest of the fixed effects being those found in the linear regression models with confounding. The use of the second and third interaction terms above allows the slope between proband score and brain measure to differ over time (become stronger/weaker as the infant ages), and for this differs to depend on diagnosis.
EACSF ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
|
Variable
|
Estimate
|
CI_95
|
DF
|
p_value
|
|
(Intercept)
|
82092.933
|
(71845.82, 92340.05)
|
336
|
<0.001
|
|
RiskGroupHR-ASD
|
-19946.801
|
(-44472.08, 4578.48)
|
266
|
0.11
|
|
SCQ_Pro_Score
|
-383.618
|
(-786.11, 18.88)
|
266
|
0.062
|
|
AgeMRI
|
-205.949
|
(-340.48, -71.42)
|
336
|
0.003
|
|
Proband_SexFemale
|
3190.738
|
(-2737.86, 9119.34)
|
266
|
0.29
|
|
SiteSEA
|
1282.205
|
(-4666.71, 7231.12)
|
266
|
0.672
|
|
SiteSTL
|
-371.639
|
(-5737.37, 4994.09)
|
266
|
0.892
|
|
SiteUNC
|
1750.234
|
(-3933.99, 7434.46)
|
266
|
0.545
|
|
Pro_Age_SCQ_y
|
434.995
|
(-363.57, 1233.56)
|
266
|
0.284
|
|
Cand_SexFemale
|
-5204.957
|
(-9418.58, -991.33)
|
266
|
0.016
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
1304.313
|
(298.59, 2310.04)
|
266
|
0.011
|
|
RiskGroupHR-ASD:AgeMRI
|
-323.806
|
(-622.48, -25.13)
|
336
|
0.034
|


TCV ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
|
Variable
|
Estimate
|
CI_95
|
DF
|
p_value
|
|
(Intercept)
|
823441.138
|
(784270.27, 862612.01)
|
374
|
<0.001
|
|
RiskGroupHR-ASD
|
-127931.864
|
(-219393.21, -36470.52)
|
292
|
0.006
|
|
SCQ_Pro_Score
|
-907.389
|
(-2519.59, 704.81)
|
292
|
0.269
|
|
AgeMRI
|
6511.037
|
(5994.45, 7027.62)
|
374
|
<0.001
|
|
Proband_SexFemale
|
-2099.074
|
(-25120.67, 20922.53)
|
292
|
0.858
|
|
SiteSEA
|
-13625.178
|
(-37525.11, 10274.76)
|
292
|
0.263
|
|
SiteSTL
|
-9196.347
|
(-30869.66, 12476.97)
|
292
|
0.404
|
|
SiteUNC
|
4155.705
|
(-19310.11, 27621.52)
|
292
|
0.728
|
|
Pro_Age_SCQ_y
|
-1218.522
|
(-4471.31, 2034.26)
|
292
|
0.462
|
|
Cand_SexFemale
|
-75402.499
|
(-92391.04, -58413.95)
|
292
|
<0.001
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
6147.958
|
(2253.39, 10042.52)
|
292
|
0.002
|
|
RiskGroupHR-ASD:AgeMRI
|
259.570
|
(-912.65, 1431.79)
|
374
|
0.664
|



TSA ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
|
Variable
|
Estimate
|
CI_95
|
DF
|
p_value
|
|
(Intercept)
|
55684.232
|
(53226.84, 58141.63)
|
369
|
<0.001
|
|
RiskGroupHR-ASD
|
-7928.763
|
(-14409.55, -1447.97)
|
266
|
0.017
|
|
SCQ_Pro_Score
|
-66.435
|
(-168.5, 35.63)
|
266
|
0.201
|
|
AgeMRI
|
1055.112
|
(1031.19, 1079.04)
|
369
|
<0.001
|
|
Proband_SexFemale
|
406.645
|
(-1142.03, 1955.32)
|
266
|
0.606
|
|
SiteSEA
|
255.979
|
(-1297, 1808.96)
|
266
|
0.746
|
|
SiteSTL
|
-245.162
|
(-1667.53, 1177.2)
|
266
|
0.735
|
|
SiteUNC
|
310.821
|
(-1218.1, 1839.74)
|
266
|
0.689
|
|
Pro_Age_SCQ_y
|
-61.176
|
(-272.09, 149.74)
|
266
|
0.568
|
|
Cand_SexFemale
|
-4725.857
|
(-5816.15, -3635.57)
|
266
|
<0.001
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
384.939
|
(107.51, 662.37)
|
266
|
0.007
|
|
RiskGroupHR-ASD:AgeMRI
|
10.016
|
(-44.85, 64.88)
|
369
|
0.72
|



CCbody ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
|
Variable
|
Estimate
|
CI_95
|
DF
|
p_value
|
|
(Intercept)
|
0.36792
|
(0.355, 0.3808)
|
297
|
<0.001
|
|
RiskGroupHR-ASD
|
-0.01492
|
(-0.0445, 0.0146)
|
279
|
0.321
|
|
SCQ_Pro_Score
|
0.00028
|
(-2e-04, 8e-04)
|
279
|
0.284
|
|
AgeMRI
|
0.00453
|
(0.0043, 0.0048)
|
297
|
<0.001
|
|
Proband_SexFemale
|
0.00189
|
(-0.0053, 0.0091)
|
279
|
0.607
|
|
SiteSEA
|
-0.00871
|
(-0.0166, -8e-04)
|
279
|
0.031
|
|
SiteSTL
|
-0.01844
|
(-0.0255, -0.0114)
|
279
|
<0.001
|
|
SiteUNC
|
-0.00502
|
(-0.0125, 0.0024)
|
279
|
0.186
|
|
Pro_Age_SCQ_y
|
-0.00056
|
(-0.0016, 5e-04)
|
279
|
0.299
|
|
Cand_SexFemale
|
-0.00052
|
(-0.0061, 0.005)
|
279
|
0.852
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
0.00059
|
(-6e-04, 0.0018)
|
279
|
0.348
|
|
RiskGroupHR-ASD:AgeMRI
|
0.00002
|
(-5e-04, 5e-04)
|
297
|
0.936
|



CCGenu ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
|
Variable
|
Estimate
|
CI_95
|
DF
|
p_value
|
|
(Intercept)
|
0.36036
|
(0.3463, 0.3744)
|
296
|
<0.001
|
|
RiskGroupHR-ASD
|
-0.02287
|
(-0.0549, 0.0092)
|
279
|
0.161
|
|
SCQ_Pro_Score
|
0.00042
|
(-1e-04, 0.001)
|
279
|
0.148
|
|
AgeMRI
|
0.00507
|
(0.0048, 0.0053)
|
296
|
<0.001
|
|
Proband_SexFemale
|
-0.00025
|
(-0.0081, 0.0076)
|
279
|
0.951
|
|
SiteSEA
|
-0.00410
|
(-0.0127, 0.0045)
|
279
|
0.349
|
|
SiteSTL
|
-0.00888
|
(-0.0165, -0.0012)
|
279
|
0.023
|
|
SiteUNC
|
0.00281
|
(-0.0053, 0.0109)
|
279
|
0.497
|
|
Pro_Age_SCQ_y
|
-0.00051
|
(-0.0017, 6e-04)
|
279
|
0.385
|
|
Cand_SexFemale
|
-0.00378
|
(-0.0098, 0.0023)
|
279
|
0.22
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
0.00080
|
(-5e-04, 0.0021)
|
279
|
0.24
|
|
RiskGroupHR-ASD:AgeMRI
|
0.00015
|
(-4e-04, 7e-04)
|
296
|
0.577
|



CCSplenium ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
|
Variable
|
Estimate
|
CI_95
|
DF
|
p_value
|
|
(Intercept)
|
0.44057
|
(0.4225, 0.4587)
|
297
|
<0.001
|
|
RiskGroupHR-ASD
|
-0.02099
|
(-0.0624, 0.0205)
|
279
|
0.32
|
|
SCQ_Pro_Score
|
0.00044
|
(-3e-04, 0.0012)
|
279
|
0.236
|
|
AgeMRI
|
0.00413
|
(0.0038, 0.0044)
|
297
|
<0.001
|
|
Proband_SexFemale
|
0.00354
|
(-0.0066, 0.0137)
|
279
|
0.492
|
|
SiteSEA
|
-0.00043
|
(-0.0113, 0.0105)
|
279
|
0.938
|
|
SiteSTL
|
-0.01687
|
(-0.0266, -0.0071)
|
279
|
<0.001
|
|
SiteUNC
|
0.00178
|
(-0.0085, 0.0121)
|
279
|
0.734
|
|
Pro_Age_SCQ_y
|
-0.00050
|
(-0.002, 0.001)
|
279
|
0.507
|
|
Cand_SexFemale
|
-0.00453
|
(-0.0122, 0.0031)
|
279
|
0.246
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
0.00055
|
(-0.0012, 0.0023)
|
279
|
0.528
|
|
RiskGroupHR-ASD:AgeMRI
|
-0.00001
|
(-7e-04, 7e-04)
|
297
|
0.977
|



ROI01 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
|
Variable
|
Estimate
|
CI_95
|
DF
|
p_value
|
|
(Intercept)
|
1172.117
|
(1078.52, 1265.71)
|
369
|
<0.001
|
|
RiskGroupHR-ASD
|
137.937
|
(-109.08, 384.96)
|
266
|
0.273
|
|
SCQ_Pro_Score
|
-0.481
|
(-4.35, 3.39)
|
266
|
0.807
|
|
AgeMRI
|
20.130
|
(19.04, 21.22)
|
369
|
<0.001
|
|
Proband_SexFemale
|
46.517
|
(-12.39, 105.42)
|
266
|
0.121
|
|
SiteSEA
|
-5.100
|
(-64.14, 53.94)
|
266
|
0.865
|
|
SiteSTL
|
43.056
|
(-11.12, 97.23)
|
266
|
0.119
|
|
SiteUNC
|
0.434
|
(-57.82, 58.69)
|
266
|
0.988
|
|
Pro_Age_SCQ_y
|
2.876
|
(-5.15, 10.91)
|
266
|
0.481
|
|
Cand_SexFemale
|
-112.243
|
(-153.71, -70.78)
|
266
|
<0.001
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
-3.727
|
(-14.27, 6.81)
|
266
|
0.487
|
|
RiskGroupHR-ASD:AgeMRI
|
-0.567
|
(-3.06, 1.93)
|
369
|
0.655
|



ROI02 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
|
Variable
|
Estimate
|
CI_95
|
DF
|
p_value
|
|
(Intercept)
|
1219.624
|
(1124.42, 1314.83)
|
369
|
<0.001
|
|
RiskGroupHR-ASD
|
110.428
|
(-137.63, 358.49)
|
266
|
0.382
|
|
SCQ_Pro_Score
|
-0.976
|
(-4.89, 2.94)
|
266
|
0.624
|
|
AgeMRI
|
19.011
|
(18.04, 19.98)
|
369
|
<0.001
|
|
Proband_SexFemale
|
57.697
|
(-1.8, 117.2)
|
266
|
0.057
|
|
SiteSEA
|
15.189
|
(-44.49, 74.87)
|
266
|
0.617
|
|
SiteSTL
|
32.897
|
(-21.8, 87.59)
|
266
|
0.237
|
|
SiteUNC
|
25.468
|
(-33.31, 84.25)
|
266
|
0.394
|
|
Pro_Age_SCQ_y
|
-3.147
|
(-11.26, 4.97)
|
266
|
0.446
|
|
Cand_SexFemale
|
-118.125
|
(-160, -76.25)
|
266
|
<0.001
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
-3.228
|
(-13.8, 7.34)
|
266
|
0.548
|
|
RiskGroupHR-ASD:AgeMRI
|
0.744
|
(-1.48, 2.97)
|
369
|
0.511
|



ROI08 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
|
Variable
|
Estimate
|
CI_95
|
DF
|
p_value
|
|
(Intercept)
|
1676.878
|
(1488.94, 1864.81)
|
369
|
<0.001
|
|
RiskGroupHR-ASD
|
-341.315
|
(-834.48, 151.85)
|
266
|
0.174
|
|
SCQ_Pro_Score
|
-2.915
|
(-10.67, 4.84)
|
266
|
0.46
|
|
AgeMRI
|
43.638
|
(41.58, 45.7)
|
369
|
<0.001
|
|
Proband_SexFemale
|
36.880
|
(-81.09, 154.85)
|
266
|
0.539
|
|
SiteSEA
|
8.589
|
(-109.61, 126.79)
|
266
|
0.886
|
|
SiteSTL
|
54.881
|
(-53.57, 163.33)
|
266
|
0.32
|
|
SiteUNC
|
46.043
|
(-70.45, 162.54)
|
266
|
0.437
|
|
Pro_Age_SCQ_y
|
0.144
|
(-15.98, 16.27)
|
266
|
0.986
|
|
Cand_SexFemale
|
-211.788
|
(-294.84, -128.74)
|
266
|
<0.001
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
18.815
|
(-2.2, 39.83)
|
266
|
0.079
|
|
RiskGroupHR-ASD:AgeMRI
|
4.061
|
(-0.68, 8.81)
|
369
|
0.093
|



ROI41 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
|
Variable
|
Estimate
|
CI_95
|
DF
|
p_value
|
|
(Intercept)
|
1056.425
|
(965.19, 1147.66)
|
369
|
<0.001
|
|
RiskGroupHR-ASD
|
-167.617
|
(-406.42, 71.18)
|
266
|
0.168
|
|
SCQ_Pro_Score
|
2.246
|
(-1.53, 6.02)
|
266
|
0.242
|
|
AgeMRI
|
13.272
|
(12.42, 14.12)
|
369
|
<0.001
|
|
Proband_SexFemale
|
-8.012
|
(-65.39, 49.37)
|
266
|
0.784
|
|
SiteSEA
|
37.558
|
(-19.95, 95.07)
|
266
|
0.2
|
|
SiteSTL
|
-0.174
|
(-52.92, 52.57)
|
266
|
0.995
|
|
SiteUNC
|
22.913
|
(-33.77, 79.59)
|
266
|
0.427
|
|
Pro_Age_SCQ_y
|
-3.598
|
(-11.43, 4.24)
|
266
|
0.367
|
|
Cand_SexFemale
|
-89.828
|
(-130.21, -49.45)
|
266
|
<0.001
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
6.676
|
(-3.53, 16.89)
|
266
|
0.199
|
|
RiskGroupHR-ASD:AgeMRI
|
0.410
|
(-1.54, 2.36)
|
369
|
0.679
|



ROI42 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
|
Variable
|
Estimate
|
CI_95
|
DF
|
p_value
|
|
(Intercept)
|
1188.121
|
(1089.49, 1286.76)
|
369
|
<0.001
|
|
RiskGroupHR-ASD
|
-107.046
|
(-366.04, 151.95)
|
266
|
0.417
|
|
SCQ_Pro_Score
|
1.182
|
(-2.89, 5.26)
|
266
|
0.569
|
|
AgeMRI
|
15.457
|
(14.4, 16.52)
|
369
|
<0.001
|
|
Proband_SexFemale
|
63.808
|
(1.81, 125.81)
|
266
|
0.044
|
|
SiteSEA
|
56.347
|
(-5.78, 118.47)
|
266
|
0.075
|
|
SiteSTL
|
-23.437
|
(-80.45, 33.57)
|
266
|
0.419
|
|
SiteUNC
|
-1.665
|
(-62.93, 59.6)
|
266
|
0.957
|
|
Pro_Age_SCQ_y
|
-2.847
|
(-11.31, 5.62)
|
266
|
0.509
|
|
Cand_SexFemale
|
-87.241
|
(-130.88, -43.6)
|
266
|
<0.001
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
6.238
|
(-4.81, 17.29)
|
266
|
0.267
|
|
RiskGroupHR-ASD:AgeMRI
|
-0.398
|
(-2.83, 2.03)
|
369
|
0.748
|



ROI44 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
|
Variable
|
Estimate
|
CI_95
|
DF
|
p_value
|
|
(Intercept)
|
672.019
|
(596.85, 747.19)
|
369
|
<0.001
|
|
RiskGroupHR-ASD
|
-174.342
|
(-370.89, 22.2)
|
266
|
0.082
|
|
SCQ_Pro_Score
|
-0.498
|
(-3.6, 2.6)
|
266
|
0.752
|
|
AgeMRI
|
8.682
|
(7.91, 9.46)
|
369
|
<0.001
|
|
Proband_SexFemale
|
-11.008
|
(-58.1, 36.09)
|
266
|
0.646
|
|
SiteSEA
|
0.156
|
(-47.04, 47.36)
|
266
|
0.995
|
|
SiteSTL
|
11.404
|
(-31.88, 54.69)
|
266
|
0.604
|
|
SiteUNC
|
13.932
|
(-32.57, 60.43)
|
266
|
0.556
|
|
Pro_Age_SCQ_y
|
-2.723
|
(-9.16, 3.71)
|
266
|
0.406
|
|
Cand_SexFemale
|
-59.655
|
(-92.8, -26.5)
|
266
|
<0.001
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
10.929
|
(2.55, 19.3)
|
266
|
0.011
|
|
RiskGroupHR-ASD:AgeMRI
|
-0.605
|
(-2.39, 1.18)
|
369
|
0.505
|



ROI47 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
|
Variable
|
Estimate
|
CI_95
|
DF
|
p_value
|
|
(Intercept)
|
1434.571
|
(1261.62, 1607.52)
|
369
|
<0.001
|
|
RiskGroupHR-ASD
|
-200.586
|
(-656.37, 255.2)
|
266
|
0.387
|
|
SCQ_Pro_Score
|
1.406
|
(-5.78, 8.59)
|
266
|
0.7
|
|
AgeMRI
|
31.218
|
(29.63, 32.81)
|
369
|
<0.001
|
|
Proband_SexFemale
|
-9.543
|
(-118.53, 99.44)
|
266
|
0.863
|
|
SiteSEA
|
-5.420
|
(-114.72, 103.88)
|
266
|
0.922
|
|
SiteSTL
|
-5.968
|
(-106.05, 94.11)
|
266
|
0.907
|
|
SiteUNC
|
43.645
|
(-63.93, 151.22)
|
266
|
0.425
|
|
Pro_Age_SCQ_y
|
-1.211
|
(-16.05, 13.63)
|
266
|
0.872
|
|
Cand_SexFemale
|
-143.890
|
(-220.62, -67.16)
|
266
|
<0.001
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
7.578
|
(-11.95, 27.1)
|
266
|
0.445
|
|
RiskGroupHR-ASD:AgeMRI
|
2.487
|
(-1.17, 6.14)
|
369
|
0.181
|



ROI48 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
|
Variable
|
Estimate
|
CI_95
|
DF
|
p_value
|
|
(Intercept)
|
1326.812
|
(1186.11, 1467.52)
|
369
|
<0.001
|
|
RiskGroupHR-ASD
|
-622.994
|
(-993.87, -252.12)
|
266
|
0.001
|
|
SCQ_Pro_Score
|
-6.646
|
(-12.48, -0.81)
|
266
|
0.026
|
|
AgeMRI
|
25.134
|
(23.67, 26.6)
|
369
|
<0.001
|
|
Proband_SexFemale
|
39.051
|
(-49.58, 127.68)
|
266
|
0.386
|
|
SiteSEA
|
18.158
|
(-70.69, 107)
|
266
|
0.688
|
|
SiteSTL
|
2.226
|
(-79.25, 83.7)
|
266
|
0.957
|
|
SiteUNC
|
0.616
|
(-86.98, 88.22)
|
266
|
0.989
|
|
Pro_Age_SCQ_y
|
2.455
|
(-9.62, 14.54)
|
266
|
0.689
|
|
Cand_SexFemale
|
-145.222
|
(-207.61, -82.83)
|
266
|
<0.001
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
26.760
|
(10.9, 42.61)
|
266
|
0.001
|
|
RiskGroupHR-ASD:AgeMRI
|
0.153
|
(-3.21, 3.52)
|
369
|
0.929
|



ROI59 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
|
Variable
|
Estimate
|
CI_95
|
DF
|
p_value
|
|
(Intercept)
|
585.657
|
(509.61, 661.7)
|
369
|
<0.001
|
|
RiskGroupHR-ASD
|
-98.575
|
(-298.38, 101.22)
|
266
|
0.332
|
|
SCQ_Pro_Score
|
-1.042
|
(-4.2, 2.11)
|
266
|
0.516
|
|
AgeMRI
|
11.492
|
(10.77, 12.22)
|
369
|
<0.001
|
|
Proband_SexFemale
|
19.731
|
(-28.2, 67.66)
|
266
|
0.418
|
|
SiteSEA
|
20.280
|
(-27.76, 68.32)
|
266
|
0.407
|
|
SiteSTL
|
10.939
|
(-33.11, 54.99)
|
266
|
0.625
|
|
SiteUNC
|
-8.295
|
(-55.61, 39.02)
|
266
|
0.73
|
|
Pro_Age_SCQ_y
|
0.969
|
(-5.57, 7.51)
|
266
|
0.771
|
|
Cand_SexFemale
|
-45.672
|
(-79.41, -11.93)
|
266
|
0.008
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
5.936
|
(-2.61, 14.48)
|
266
|
0.173
|
|
RiskGroupHR-ASD:AgeMRI
|
-1.631
|
(-3.3, 0.04)
|
369
|
0.055
|



ROI60 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
|
Variable
|
Estimate
|
CI_95
|
DF
|
p_value
|
|
(Intercept)
|
741.965
|
(657.02, 826.91)
|
369
|
<0.001
|
|
RiskGroupHR-ASD
|
-175.772
|
(-399.06, 47.52)
|
266
|
0.122
|
|
SCQ_Pro_Score
|
-1.782
|
(-5.29, 1.73)
|
266
|
0.319
|
|
AgeMRI
|
12.460
|
(11.53, 13.39)
|
369
|
<0.001
|
|
Proband_SexFemale
|
37.725
|
(-15.7, 91.15)
|
266
|
0.166
|
|
SiteSEA
|
-16.531
|
(-70.06, 37)
|
266
|
0.544
|
|
SiteSTL
|
-31.317
|
(-80.44, 17.81)
|
266
|
0.211
|
|
SiteUNC
|
-28.809
|
(-81.59, 23.98)
|
266
|
0.284
|
|
Pro_Age_SCQ_y
|
4.186
|
(-3.11, 11.48)
|
266
|
0.26
|
|
Cand_SexFemale
|
-52.977
|
(-90.58, -15.37)
|
266
|
0.006
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
8.345
|
(-1.18, 17.87)
|
266
|
0.086
|
|
RiskGroupHR-ASD:AgeMRI
|
0.034
|
(-2.09, 2.16)
|
369
|
0.975
|



ROI77 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
|
Variable
|
Estimate
|
CI_95
|
DF
|
p_value
|
|
(Intercept)
|
592.311
|
(495.38, 689.24)
|
369
|
<0.001
|
|
RiskGroupHR-ASD
|
-58.968
|
(-313.73, 195.79)
|
266
|
0.649
|
|
SCQ_Pro_Score
|
-0.302
|
(-4.29, 3.69)
|
266
|
0.882
|
|
AgeMRI
|
21.607
|
(20.41, 22.8)
|
369
|
<0.001
|
|
Proband_SexFemale
|
-1.364
|
(-62.07, 59.34)
|
266
|
0.965
|
|
SiteSEA
|
-9.375
|
(-70.18, 51.43)
|
266
|
0.762
|
|
SiteSTL
|
31.859
|
(-23.96, 87.67)
|
266
|
0.262
|
|
SiteUNC
|
22.616
|
(-37.34, 82.58)
|
266
|
0.458
|
|
Pro_Age_SCQ_y
|
0.036
|
(-8.27, 8.34)
|
266
|
0.993
|
|
Cand_SexFemale
|
-87.138
|
(-129.88, -44.4)
|
266
|
<0.001
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
2.765
|
(-8.05, 13.58)
|
266
|
0.615
|
|
RiskGroupHR-ASD:AgeMRI
|
-0.253
|
(-3, 2.49)
|
369
|
0.856
|





We also consider a spline modeling, with separate splines for each diagnostic group. The knots are placed at visit points (6 months, 12 months, 24 months). We only consider spline models for the “macro” scale brain measures (EACSF, TCV, TSA) as we see that compared to the linear mixed models, the splines do not significant new information. This was determined by a asymptotic likelihood ratio test with the linear mixed model as the null model (as the linear and spline models are nested models), using the restricted log likelihoods for each model. As before, the random effects consist of a random intercept and a random slope for age.
Spline time effect
Supplemental Analyses
Count of observed imaging data
First, we create a table of counts of available imaging data by time point, diagnosis. This can be done be counting the number of non-missing values of the AgeMRI variable.
Correlations between secondary brain regions and SCQ score
Correlations between brain and Proband ADI-R Reciprocal Social Interaction Scores
Demographics by proband group
##
## Welch Two Sample t-test
##
## data: SCQ_Pro_Score by Pro_SCQgrp
## t = -9.958, df = 31.638, p-value = 2.843e-11
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -10.923322 -7.212016
## sample estimates:
## mean in group low mean in group high
## 15.80952 24.87719
##
## Welch Two Sample t-test
##
## data: ADOS_SevScore by Pro_SCQgrp
## t = 1.5238, df = 31.513, p-value = 0.1375
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.2424826 1.6793247
## sample estimates:
## mean in group low mean in group high
## 6.350000 5.631579
Correlations between brain measures and behavioral measures
Linear Mixed Effects - Time Varying Associations
Re-fit the mixed effects models in the main analyses with the following additions to the main effects:
- Interaction term between age and proband SCQ score
- Interaction term between age, diagnosis, and proband SCQ score
The use of these interaction terms above allows the slope between proband score and brain measure to differ over time (become stronger/weaker as the infant ages), and for this differs to depend on diagnosis.
EACSF ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + AgeMRI + SCQ_Pro_Score * AgeMRI + SCQ_Pro_Score * AgeMRI * RiskGroup + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
|
Variable
|
Estimate
|
CI_95
|
DF
|
p_value
|
|
(Intercept)
|
79817.920
|
(63740.96, 95894.88)
|
334
|
<0.001
|
|
RiskGroupHR-ASD
|
23058.746
|
(-20304.84, 66422.33)
|
266
|
0.296
|
|
SCQ_Pro_Score
|
-283.823
|
(-1002.83, 435.18)
|
266
|
0.438
|
|
AgeMRI
|
-125.136
|
(-634.98, 384.71)
|
334
|
0.63
|
|
Proband_SexFemale
|
3488.753
|
(-2356.93, 9334.43)
|
266
|
0.241
|
|
SiteSEA
|
1585.502
|
(-4275.37, 7446.38)
|
266
|
0.595
|
|
SiteSTL
|
3.599
|
(-5282.01, 5289.21)
|
266
|
0.999
|
|
SiteUNC
|
2038.244
|
(-3552.42, 7628.91)
|
266
|
0.473
|
|
Pro_Age_SCQ_y
|
406.859
|
(-378.59, 1192.31)
|
266
|
0.309
|
|
Cand_SexFemale
|
-5114.629
|
(-9263.33, -965.93)
|
266
|
0.016
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
-549.279
|
(-2402.09, 1303.53)
|
266
|
0.56
|
|
RiskGroupHR-ASD:AgeMRI
|
-2090.629
|
(-3568.33, -612.93)
|
334
|
0.006
|
|
SCQ_Pro_Score:AgeMRI
|
-3.783
|
(-27.43, 19.86)
|
334
|
0.753
|
|
RiskGroupHR-ASD:SCQ_Pro_Score:AgeMRI
|
75.948
|
(12.94, 138.95)
|
334
|
0.018
|


TCV ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + AgeMRI + SCQ_Pro_Score * AgeMRI + SCQ_Pro_Score * AgeMRI * RiskGroup + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
|
Variable
|
Estimate
|
CI_95
|
DF
|
p_value
|
|
(Intercept)
|
826627.823
|
(778638.26, 874617.39)
|
372
|
<0.001
|
|
RiskGroupHR-ASD
|
-98609.938
|
(-221968.48, 24748.6)
|
292
|
0.117
|
|
SCQ_Pro_Score
|
-1088.578
|
(-3200, 1022.85)
|
292
|
0.311
|
|
AgeMRI
|
6259.573
|
(4234.75, 8284.4)
|
372
|
<0.001
|
|
Proband_SexFemale
|
-2142.625
|
(-25149.97, 20864.72)
|
292
|
0.855
|
|
SiteSEA
|
-13322.631
|
(-37215.86, 10570.6)
|
292
|
0.273
|
|
SiteSTL
|
-8687.038
|
(-30377.8, 13003.73)
|
292
|
0.431
|
|
SiteUNC
|
4614.770
|
(-18858.06, 28087.6)
|
292
|
0.699
|
|
Pro_Age_SCQ_y
|
-1195.710
|
(-4446.97, 2055.55)
|
292
|
0.47
|
|
Cand_SexFemale
|
-75163.580
|
(-92150.38, -58176.78)
|
292
|
<0.001
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
4923.207
|
(-365.38, 10211.79)
|
292
|
0.068
|
|
RiskGroupHR-ASD:AgeMRI
|
-1858.197
|
(-7916.96, 4200.57)
|
372
|
0.547
|
|
SCQ_Pro_Score:AgeMRI
|
12.184
|
(-82.62, 106.99)
|
372
|
0.801
|
|
RiskGroupHR-ASD:SCQ_Pro_Score:AgeMRI
|
88.815
|
(-168.58, 346.21)
|
372
|
0.498
|



TSA ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + AgeMRI + SCQ_Pro_Score * AgeMRI + SCQ_Pro_Score * AgeMRI * RiskGroup + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
|
Variable
|
Estimate
|
CI_95
|
DF
|
p_value
|
|
(Intercept)
|
55799.391
|
(53317.29, 58281.49)
|
367
|
<0.001
|
|
RiskGroupHR-ASD
|
-6847.881
|
(-13464.53, -231.23)
|
266
|
0.043
|
|
SCQ_Pro_Score
|
-73.869
|
(-177.45, 29.71)
|
266
|
0.161
|
|
AgeMRI
|
1020.639
|
(927.15, 1114.13)
|
367
|
<0.001
|
|
Proband_SexFemale
|
380.303
|
(-1169, 1929.6)
|
266
|
0.629
|
|
SiteSEA
|
268.337
|
(-1285.03, 1821.7)
|
266
|
0.734
|
|
SiteSTL
|
-229.898
|
(-1652.54, 1192.74)
|
266
|
0.751
|
|
SiteUNC
|
344.719
|
(-1184.76, 1874.2)
|
266
|
0.658
|
|
Pro_Age_SCQ_y
|
-57.189
|
(-268.17, 153.8)
|
266
|
0.594
|
|
Cand_SexFemale
|
-4718.741
|
(-5809.05, -3628.43)
|
266
|
<0.001
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
341.668
|
(58.75, 624.59)
|
266
|
0.018
|
|
RiskGroupHR-ASD:AgeMRI
|
-205.617
|
(-487.19, 75.96)
|
367
|
0.152
|
|
SCQ_Pro_Score:AgeMRI
|
1.653
|
(-2.69, 5.99)
|
367
|
0.454
|
|
RiskGroupHR-ASD:SCQ_Pro_Score:AgeMRI
|
9.111
|
(-2.93, 21.15)
|
367
|
0.138
|



CCbody ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + AgeMRI + SCQ_Pro_Score * AgeMRI + SCQ_Pro_Score * AgeMRI * RiskGroup + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
|
Variable
|
Estimate
|
CI_95
|
DF
|
p_value
|
|
(Intercept)
|
0.36992
|
(0.3534, 0.38644)
|
295
|
<0.001
|
|
RiskGroupHR-ASD
|
-0.03654
|
(-0.07871, 0.00563)
|
279
|
0.089
|
|
SCQ_Pro_Score
|
0.00020
|
(-0.00051, 0.00092)
|
279
|
0.575
|
|
AgeMRI
|
0.00438
|
(0.00345, 0.0053)
|
295
|
<0.001
|
|
Proband_SexFemale
|
0.00184
|
(-0.00538, 0.00906)
|
279
|
0.616
|
|
SiteSEA
|
-0.00893
|
(-0.01682, -0.00104)
|
279
|
0.027
|
|
SiteSTL
|
-0.01873
|
(-0.02577, -0.0117)
|
279
|
<0.001
|
|
SiteUNC
|
-0.00534
|
(-0.01279, 0.00212)
|
279
|
0.16
|
|
Pro_Age_SCQ_y
|
-0.00057
|
(-0.00163, 5e-04)
|
279
|
0.296
|
|
Cand_SexFemale
|
-0.00064
|
(-0.00618, 0.00489)
|
279
|
0.819
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
0.00151
|
(-0.00027, 0.0033)
|
279
|
0.096
|
|
RiskGroupHR-ASD:AgeMRI
|
0.00189
|
(-0.00076, 0.00454)
|
295
|
0.162
|
|
SCQ_Pro_Score:AgeMRI
|
0.00001
|
(-4e-05, 5e-05)
|
295
|
0.738
|
|
RiskGroupHR-ASD:SCQ_Pro_Score:AgeMRI
|
-0.00008
|
(-0.00019, 3e-05)
|
295
|
0.161
|



CCGenu ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + AgeMRI + SCQ_Pro_Score * AgeMRI + SCQ_Pro_Score * AgeMRI * RiskGroup + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
|
Variable
|
Estimate
|
CI_95
|
DF
|
p_value
|
|
(Intercept)
|
0.36812
|
(0.35058, 0.38565)
|
294
|
<0.001
|
|
RiskGroupHR-ASD
|
-0.03995
|
(-0.08449, 0.0046)
|
279
|
0.079
|
|
SCQ_Pro_Score
|
0.00006
|
(-0.00069, 0.00081)
|
279
|
0.877
|
|
AgeMRI
|
0.00441
|
(0.00348, 0.00535)
|
294
|
<0.001
|
|
Proband_SexFemale
|
-0.00032
|
(-0.00821, 0.00758)
|
279
|
0.937
|
|
SiteSEA
|
-0.00424
|
(-0.01286, 0.00438)
|
279
|
0.334
|
|
SiteSTL
|
-0.00906
|
(-0.01675, -0.00138)
|
279
|
0.021
|
|
SiteUNC
|
0.00257
|
(-0.00558, 0.01072)
|
279
|
0.535
|
|
Pro_Age_SCQ_y
|
-0.00051
|
(-0.00168, 0.00065)
|
279
|
0.388
|
|
Cand_SexFemale
|
-0.00384
|
(-0.00989, 0.00221)
|
279
|
0.213
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
0.00156
|
(-0.00032, 0.00345)
|
279
|
0.104
|
|
RiskGroupHR-ASD:AgeMRI
|
0.00161
|
(-0.00107, 0.0043)
|
294
|
0.239
|
|
SCQ_Pro_Score:AgeMRI
|
0.00003
|
(-1e-05, 7e-05)
|
294
|
0.154
|
|
RiskGroupHR-ASD:SCQ_Pro_Score:AgeMRI
|
-0.00007
|
(-0.00018, 5e-05)
|
294
|
0.258
|



CCSplenium ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + AgeMRI + SCQ_Pro_Score * AgeMRI + SCQ_Pro_Score * AgeMRI * RiskGroup + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
|
Variable
|
Estimate
|
CI_95
|
DF
|
p_value
|
|
(Intercept)
|
0.44917
|
(0.42409, 0.47425)
|
295
|
<0.001
|
|
RiskGroupHR-ASD
|
-0.06752
|
(-0.13192, -0.00311)
|
279
|
0.04
|
|
SCQ_Pro_Score
|
0.00005
|
(-0.00104, 0.00115)
|
279
|
0.922
|
|
AgeMRI
|
0.00357
|
(0.00232, 0.00481)
|
295
|
<0.001
|
|
Proband_SexFemale
|
0.00345
|
(-0.00666, 0.01356)
|
279
|
0.503
|
|
SiteSEA
|
-0.00087
|
(-0.01179, 0.01004)
|
279
|
0.875
|
|
SiteSTL
|
-0.01742
|
(-0.02717, -0.00767)
|
279
|
<0.001
|
|
SiteUNC
|
0.00119
|
(-0.00915, 0.01153)
|
279
|
0.821
|
|
Pro_Age_SCQ_y
|
-0.00050
|
(-0.00197, 0.00097)
|
279
|
0.504
|
|
Cand_SexFemale
|
-0.00473
|
(-0.01241, 0.00295)
|
279
|
0.226
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
0.00257
|
(-0.00017, 0.0053)
|
279
|
0.066
|
|
RiskGroupHR-ASD:AgeMRI
|
0.00325
|
(-0.00028, 0.00677)
|
295
|
0.071
|
|
SCQ_Pro_Score:AgeMRI
|
0.00003
|
(-3e-05, 8e-05)
|
295
|
0.356
|
|
RiskGroupHR-ASD:SCQ_Pro_Score:AgeMRI
|
-0.00014
|
(-0.00029, 1e-05)
|
295
|
0.063
|



ROI01 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + AgeMRI + SCQ_Pro_Score * AgeMRI + SCQ_Pro_Score * AgeMRI * RiskGroup + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
|
Variable
|
Estimate
|
CI_95
|
DF
|
p_value
|
|
(Intercept)
|
1165.747
|
(1068.09, 1263.41)
|
367
|
<0.001
|
|
RiskGroupHR-ASD
|
227.102
|
(-38.7, 492.91)
|
266
|
0.094
|
|
SCQ_Pro_Score
|
-0.224
|
(-4.34, 3.89)
|
266
|
0.915
|
|
AgeMRI
|
20.977
|
(16.68, 25.27)
|
367
|
<0.001
|
|
Proband_SexFemale
|
46.382
|
(-12.46, 105.22)
|
266
|
0.122
|
|
SiteSEA
|
-5.374
|
(-64.34, 53.59)
|
266
|
0.858
|
|
SiteSTL
|
43.217
|
(-10.89, 97.32)
|
266
|
0.117
|
|
SiteUNC
|
1.072
|
(-57.12, 59.27)
|
266
|
0.971
|
|
Pro_Age_SCQ_y
|
3.033
|
(-4.99, 11.05)
|
266
|
0.457
|
|
Cand_SexFemale
|
-112.065
|
(-153.47, -70.66)
|
266
|
<0.001
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
-7.509
|
(-18.85, 3.83)
|
266
|
0.193
|
|
RiskGroupHR-ASD:AgeMRI
|
-12.009
|
(-24.93, 0.91)
|
367
|
0.068
|
|
SCQ_Pro_Score:AgeMRI
|
-0.041
|
(-0.24, 0.16)
|
367
|
0.689
|
|
RiskGroupHR-ASD:SCQ_Pro_Score:AgeMRI
|
0.497
|
(-0.06, 1.05)
|
367
|
0.078
|



ROI02 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + AgeMRI + SCQ_Pro_Score * AgeMRI + SCQ_Pro_Score * AgeMRI * RiskGroup + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
|
Variable
|
Estimate
|
CI_95
|
DF
|
p_value
|
|
(Intercept)
|
1250.051
|
(1144.96, 1355.14)
|
367
|
<0.001
|
|
RiskGroupHR-ASD
|
123.472
|
(-167.29, 414.24)
|
266
|
0.404
|
|
SCQ_Pro_Score
|
-2.478
|
(-6.96, 2)
|
266
|
0.277
|
|
AgeMRI
|
16.454
|
(12.63, 20.28)
|
367
|
<0.001
|
|
Proband_SexFemale
|
57.558
|
(-1.92, 117.04)
|
266
|
0.058
|
|
SiteSEA
|
15.554
|
(-44.11, 75.22)
|
266
|
0.608
|
|
SiteSTL
|
33.509
|
(-21.17, 88.19)
|
266
|
0.229
|
|
SiteUNC
|
26.190
|
(-32.58, 84.96)
|
266
|
0.381
|
|
Pro_Age_SCQ_y
|
-3.057
|
(-11.17, 5.06)
|
266
|
0.459
|
|
Cand_SexFemale
|
-118.317
|
(-160.18, -76.45)
|
266
|
<0.001
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
-3.608
|
(-16.02, 8.8)
|
266
|
0.567
|
|
RiskGroupHR-ASD:AgeMRI
|
-0.006
|
(-11.63, 11.61)
|
367
|
0.999
|
|
SCQ_Pro_Score:AgeMRI
|
0.123
|
(-0.06, 0.3)
|
367
|
0.175
|
|
RiskGroupHR-ASD:SCQ_Pro_Score:AgeMRI
|
0.019
|
(-0.48, 0.51)
|
367
|
0.94
|



ROI08 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + AgeMRI + SCQ_Pro_Score * AgeMRI + SCQ_Pro_Score * AgeMRI * RiskGroup + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
|
Variable
|
Estimate
|
CI_95
|
DF
|
p_value
|
|
(Intercept)
|
1708.527
|
(1506.75, 1910.31)
|
367
|
<0.001
|
|
RiskGroupHR-ASD
|
-26.301
|
(-576.86, 524.26)
|
266
|
0.925
|
|
SCQ_Pro_Score
|
-4.645
|
(-13.19, 3.9)
|
266
|
0.286
|
|
AgeMRI
|
40.162
|
(32.3, 48.02)
|
367
|
<0.001
|
|
Proband_SexFemale
|
35.544
|
(-82.29, 153.38)
|
266
|
0.553
|
|
SiteSEA
|
9.611
|
(-108.45, 127.68)
|
266
|
0.873
|
|
SiteSTL
|
57.774
|
(-50.56, 166.1)
|
266
|
0.295
|
|
SiteUNC
|
49.249
|
(-67.13, 165.63)
|
266
|
0.405
|
|
Pro_Age_SCQ_y
|
0.587
|
(-15.52, 16.7)
|
266
|
0.943
|
|
Cand_SexFemale
|
-211.236
|
(-294.18, -128.29)
|
266
|
<0.001
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
5.716
|
(-17.76, 29.19)
|
266
|
0.632
|
|
RiskGroupHR-ASD:AgeMRI
|
-25.137
|
(-48.72, -1.56)
|
367
|
0.037
|
|
SCQ_Pro_Score:AgeMRI
|
0.167
|
(-0.2, 0.53)
|
367
|
0.369
|
|
RiskGroupHR-ASD:SCQ_Pro_Score:AgeMRI
|
1.237
|
(0.23, 2.24)
|
367
|
0.016
|



ROI41 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + AgeMRI + SCQ_Pro_Score * AgeMRI + SCQ_Pro_Score * AgeMRI * RiskGroup + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
|
Variable
|
Estimate
|
CI_95
|
DF
|
p_value
|
|
(Intercept)
|
1054.165
|
(958.33, 1150)
|
367
|
<0.001
|
|
RiskGroupHR-ASD
|
-107.526
|
(-366.81, 151.76)
|
266
|
0.415
|
|
SCQ_Pro_Score
|
2.288
|
(-1.75, 6.33)
|
266
|
0.266
|
|
AgeMRI
|
13.436
|
(10.1, 16.77)
|
367
|
<0.001
|
|
Proband_SexFemale
|
-7.859
|
(-65.17, 49.45)
|
266
|
0.787
|
|
SiteSEA
|
38.054
|
(-19.39, 95.5)
|
266
|
0.193
|
|
SiteSTL
|
0.764
|
(-51.93, 53.45)
|
266
|
0.977
|
|
SiteUNC
|
23.477
|
(-33.15, 80.1)
|
266
|
0.415
|
|
Pro_Age_SCQ_y
|
-3.456
|
(-11.28, 4.37)
|
266
|
0.385
|
|
Cand_SexFemale
|
-89.748
|
(-130.08, -49.42)
|
266
|
<0.001
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
4.150
|
(-6.93, 15.23)
|
266
|
0.462
|
|
RiskGroupHR-ASD:AgeMRI
|
-5.528
|
(-15.6, 4.55)
|
367
|
0.281
|
|
SCQ_Pro_Score:AgeMRI
|
-0.008
|
(-0.16, 0.15)
|
367
|
0.922
|
|
RiskGroupHR-ASD:SCQ_Pro_Score:AgeMRI
|
0.255
|
(-0.17, 0.68)
|
367
|
0.243
|



ROI42 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + AgeMRI + SCQ_Pro_Score * AgeMRI + SCQ_Pro_Score * AgeMRI * RiskGroup + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
|
Variable
|
Estimate
|
CI_95
|
DF
|
p_value
|
|
(Intercept)
|
1191.440
|
(1086.61, 1296.27)
|
367
|
<0.001
|
|
RiskGroupHR-ASD
|
-101.518
|
(-387.27, 184.23)
|
266
|
0.485
|
|
SCQ_Pro_Score
|
1.011
|
(-3.42, 5.44)
|
266
|
0.654
|
|
AgeMRI
|
15.068
|
(10.9, 19.24)
|
367
|
<0.001
|
|
Proband_SexFemale
|
63.694
|
(1.68, 125.71)
|
266
|
0.044
|
|
SiteSEA
|
56.519
|
(-5.62, 118.66)
|
266
|
0.074
|
|
SiteSTL
|
-23.280
|
(-80.31, 33.75)
|
266
|
0.422
|
|
SiteUNC
|
-1.446
|
(-62.74, 59.84)
|
266
|
0.963
|
|
Pro_Age_SCQ_y
|
-2.823
|
(-11.29, 5.65)
|
266
|
0.512
|
|
Cand_SexFemale
|
-87.266
|
(-130.91, -43.62)
|
266
|
<0.001
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
6.025
|
(-6.16, 18.21)
|
266
|
0.331
|
|
RiskGroupHR-ASD:AgeMRI
|
-0.917
|
(-13.45, 11.62)
|
367
|
0.886
|
|
SCQ_Pro_Score:AgeMRI
|
0.019
|
(-0.17, 0.21)
|
367
|
0.849
|
|
RiskGroupHR-ASD:SCQ_Pro_Score:AgeMRI
|
0.020
|
(-0.51, 0.56)
|
367
|
0.941
|



ROI44 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + AgeMRI + SCQ_Pro_Score * AgeMRI + SCQ_Pro_Score * AgeMRI * RiskGroup + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
|
Variable
|
Estimate
|
CI_95
|
DF
|
p_value
|
|
(Intercept)
|
687.045
|
(605.13, 768.96)
|
367
|
<0.001
|
|
RiskGroupHR-ASD
|
-226.271
|
(-450.71, -1.83)
|
266
|
0.048
|
|
SCQ_Pro_Score
|
-1.216
|
(-4.7, 2.26)
|
266
|
0.492
|
|
AgeMRI
|
7.349
|
(4.35, 10.35)
|
367
|
<0.001
|
|
Proband_SexFemale
|
-11.019
|
(-58.12, 36.08)
|
266
|
0.645
|
|
SiteSEA
|
0.376
|
(-46.83, 47.58)
|
266
|
0.987
|
|
SiteSTL
|
11.368
|
(-31.93, 54.66)
|
266
|
0.606
|
|
SiteUNC
|
13.892
|
(-32.62, 60.41)
|
266
|
0.557
|
|
Pro_Age_SCQ_y
|
-2.730
|
(-9.17, 3.71)
|
266
|
0.404
|
|
Cand_SexFemale
|
-59.758
|
(-92.91, -26.6)
|
266
|
<0.001
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
13.209
|
(3.63, 22.78)
|
266
|
0.007
|
|
RiskGroupHR-ASD:AgeMRI
|
3.739
|
(-5.29, 12.77)
|
367
|
0.416
|
|
SCQ_Pro_Score:AgeMRI
|
0.064
|
(-0.08, 0.2)
|
367
|
0.366
|
|
RiskGroupHR-ASD:SCQ_Pro_Score:AgeMRI
|
-0.193
|
(-0.58, 0.19)
|
367
|
0.324
|



ROI47 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + AgeMRI + SCQ_Pro_Score * AgeMRI + SCQ_Pro_Score * AgeMRI * RiskGroup + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
|
Variable
|
Estimate
|
CI_95
|
DF
|
p_value
|
|
(Intercept)
|
1433.381
|
(1259.33, 1607.43)
|
367
|
<0.001
|
|
RiskGroupHR-ASD
|
-165.459
|
(-628.13, 297.21)
|
266
|
0.482
|
|
SCQ_Pro_Score
|
1.409
|
(-5.85, 8.66)
|
266
|
0.703
|
|
AgeMRI
|
31.384
|
(25.11, 37.65)
|
367
|
<0.001
|
|
Proband_SexFemale
|
-9.824
|
(-118.81, 99.17)
|
266
|
0.859
|
|
SiteSEA
|
-5.605
|
(-114.89, 103.68)
|
266
|
0.92
|
|
SiteSTL
|
-5.882
|
(-105.94, 94.18)
|
266
|
0.908
|
|
SiteUNC
|
44.247
|
(-63.32, 151.82)
|
266
|
0.419
|
|
Pro_Age_SCQ_y
|
-1.034
|
(-15.87, 13.81)
|
266
|
0.891
|
|
Cand_SexFemale
|
-143.692
|
(-220.39, -66.99)
|
266
|
<0.001
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
6.146
|
(-13.65, 25.94)
|
266
|
0.541
|
|
RiskGroupHR-ASD:AgeMRI
|
-5.490
|
(-24.39, 13.41)
|
367
|
0.568
|
|
SCQ_Pro_Score:AgeMRI
|
-0.008
|
(-0.3, 0.28)
|
367
|
0.957
|
|
RiskGroupHR-ASD:SCQ_Pro_Score:AgeMRI
|
0.344
|
(-0.46, 1.15)
|
367
|
0.403
|



ROI48 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + AgeMRI + SCQ_Pro_Score * AgeMRI + SCQ_Pro_Score * AgeMRI * RiskGroup + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
|
Variable
|
Estimate
|
CI_95
|
DF
|
p_value
|
|
(Intercept)
|
1337.202
|
(1191.79, 1482.61)
|
367
|
<0.001
|
|
RiskGroupHR-ASD
|
-581.669
|
(-973.94, -189.4)
|
266
|
0.004
|
|
SCQ_Pro_Score
|
-7.209
|
(-13.31, -1.11)
|
266
|
0.021
|
|
AgeMRI
|
23.376
|
(17.53, 29.22)
|
367
|
<0.001
|
|
Proband_SexFemale
|
37.591
|
(-51.33, 126.51)
|
266
|
0.406
|
|
SiteSEA
|
18.931
|
(-70.19, 108.05)
|
266
|
0.676
|
|
SiteSTL
|
4.337
|
(-77.4, 86.07)
|
266
|
0.917
|
|
SiteUNC
|
2.366
|
(-85.52, 90.25)
|
266
|
0.958
|
|
Pro_Age_SCQ_y
|
2.568
|
(-9.55, 14.69)
|
266
|
0.677
|
|
Cand_SexFemale
|
-146.195
|
(-208.77, -83.62)
|
266
|
<0.001
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
25.086
|
(8.34, 41.84)
|
266
|
0.003
|
|
RiskGroupHR-ASD:AgeMRI
|
-5.134
|
(-22.73, 12.46)
|
367
|
0.566
|
|
SCQ_Pro_Score:AgeMRI
|
0.085
|
(-0.19, 0.36)
|
367
|
0.538
|
|
RiskGroupHR-ASD:SCQ_Pro_Score:AgeMRI
|
0.218
|
(-0.53, 0.97)
|
367
|
0.568
|



ROI59 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + AgeMRI + SCQ_Pro_Score * AgeMRI + SCQ_Pro_Score * AgeMRI * RiskGroup + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
|
Variable
|
Estimate
|
CI_95
|
DF
|
p_value
|
|
(Intercept)
|
586.171
|
(508.36, 663.98)
|
367
|
<0.001
|
|
RiskGroupHR-ASD
|
-59.545
|
(-267.52, 148.43)
|
266
|
0.573
|
|
SCQ_Pro_Score
|
-1.107
|
(-4.36, 2.15)
|
266
|
0.504
|
|
AgeMRI
|
11.337
|
(8.51, 14.16)
|
367
|
<0.001
|
|
Proband_SexFemale
|
19.527
|
(-28.4, 67.46)
|
266
|
0.423
|
|
SiteSEA
|
20.169
|
(-27.87, 68.21)
|
266
|
0.409
|
|
SiteSTL
|
11.116
|
(-32.93, 55.16)
|
266
|
0.62
|
|
SiteUNC
|
-7.847
|
(-55.16, 39.47)
|
266
|
0.744
|
|
Pro_Age_SCQ_y
|
1.078
|
(-5.46, 7.62)
|
266
|
0.746
|
|
Cand_SexFemale
|
-45.416
|
(-79.15, -11.69)
|
266
|
0.009
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
4.320
|
(-4.57, 13.21)
|
266
|
0.339
|
|
RiskGroupHR-ASD:AgeMRI
|
-7.109
|
(-15.6, 1.38)
|
367
|
0.101
|
|
SCQ_Pro_Score:AgeMRI
|
0.007
|
(-0.12, 0.14)
|
367
|
0.911
|
|
RiskGroupHR-ASD:SCQ_Pro_Score:AgeMRI
|
0.235
|
(-0.13, 0.6)
|
367
|
0.204
|



ROI60 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + AgeMRI + SCQ_Pro_Score * AgeMRI + SCQ_Pro_Score * AgeMRI * RiskGroup + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
|
Variable
|
Estimate
|
CI_95
|
DF
|
p_value
|
|
(Intercept)
|
743.847
|
(654, 833.69)
|
367
|
<0.001
|
|
RiskGroupHR-ASD
|
-125.971
|
(-370.28, 118.34)
|
266
|
0.311
|
|
SCQ_Pro_Score
|
-1.907
|
(-5.7, 1.89)
|
266
|
0.323
|
|
AgeMRI
|
12.191
|
(8.56, 15.82)
|
367
|
<0.001
|
|
Proband_SexFemale
|
37.496
|
(-15.95, 90.94)
|
266
|
0.168
|
|
SiteSEA
|
-16.468
|
(-70.02, 37.08)
|
266
|
0.545
|
|
SiteSTL
|
-30.968
|
(-80.11, 18.18)
|
266
|
0.216
|
|
SiteUNC
|
-28.358
|
(-81.17, 24.45)
|
266
|
0.291
|
|
Pro_Age_SCQ_y
|
4.266
|
(-3.03, 11.57)
|
266
|
0.251
|
|
Cand_SexFemale
|
-52.810
|
(-90.43, -15.19)
|
266
|
0.006
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
6.263
|
(-4.16, 16.68)
|
266
|
0.238
|
|
RiskGroupHR-ASD:AgeMRI
|
-5.254
|
(-16.16, 5.65)
|
367
|
0.344
|
|
SCQ_Pro_Score:AgeMRI
|
0.013
|
(-0.16, 0.18)
|
367
|
0.88
|
|
RiskGroupHR-ASD:SCQ_Pro_Score:AgeMRI
|
0.226
|
(-0.24, 0.69)
|
367
|
0.341
|



ROI77 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + AgeMRI + SCQ_Pro_Score * AgeMRI + SCQ_Pro_Score * AgeMRI * RiskGroup + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
|
Variable
|
Estimate
|
CI_95
|
DF
|
p_value
|
|
(Intercept)
|
600.436
|
(493.29, 707.58)
|
367
|
<0.001
|
|
RiskGroupHR-ASD
|
-13.697
|
(-309.68, 282.29)
|
266
|
0.927
|
|
SCQ_Pro_Score
|
-0.729
|
(-5.3, 3.84)
|
266
|
0.754
|
|
AgeMRI
|
20.773
|
(16.13, 25.42)
|
367
|
<0.001
|
|
Proband_SexFemale
|
-1.561
|
(-62.21, 59.09)
|
266
|
0.96
|
|
SiteSEA
|
-9.146
|
(-69.9, 51.61)
|
266
|
0.767
|
|
SiteSTL
|
32.349
|
(-23.43, 88.13)
|
266
|
0.255
|
|
SiteUNC
|
23.252
|
(-36.67, 83.18)
|
266
|
0.446
|
|
Pro_Age_SCQ_y
|
0.108
|
(-8.19, 8.4)
|
266
|
0.98
|
|
Cand_SexFemale
|
-86.990
|
(-129.69, -44.29)
|
266
|
<0.001
|
|
RiskGroupHR-ASD:SCQ_Pro_Score
|
0.900
|
(-11.7, 13.5)
|
266
|
0.888
|
|
RiskGroupHR-ASD:AgeMRI
|
-4.218
|
(-18.12, 9.69)
|
367
|
0.551
|
|
SCQ_Pro_Score:AgeMRI
|
0.040
|
(-0.18, 0.26)
|
367
|
0.715
|
|
RiskGroupHR-ASD:SCQ_Pro_Score:AgeMRI
|
0.166
|
(-0.43, 0.76)
|
367
|
0.583
|




